default search action
Dan Ventura
Dan A. Ventura
Person information
- affiliation (PhD 1998): Brigham Young University, Department of Computer Science, Provo, UT, USA
- affiliation: Pennsylvania State University, Faculty of Computer Science and Engineering, University Park, PA, USA
Refine list
refinements active!
zoomed in on ?? of ?? records
view refined list in
export refined list as
showing all ?? records
2020 – today
- 2024
- [c103]Paul M. Bodily, Dan Ventura:
Operationalizing Essential Characteristics of Creativity in a Computational System for Music Composition. AAAI 2024: 447-455 - [c102]Reed Perkins, Dan Ventura:
Musical Phrase Segmentation via Grammatical Induction. IJCAI 2024: 7726-7734 - [i2]Reed Perkins, Dan Ventura:
Musical Phrase Segmentation via Grammatical Induction. CoRR abs/2405.18742 (2024) - [i1]Reece Robertson, Dan Ventura:
Introducing UNIQuE: The Unconventional Noiseless Intermediate Quantum Emulator. CoRR abs/2409.07000 (2024) - 2023
- [c101]Robert Morain, Branden Kinghorn, Dan Ventura:
Are Language Models Unsupervised Multi-domain CC Systems? ICCC 2023: 39-43 - [c100]Dan Ventura:
The Emperor's New Co-Author. ICCC 2023: 55-63 - [c99]Connor Wilhelm, Dan Ventura:
Gaining Expertise through Task Re-Representation. ICCC 2023: 299-303 - [c98]Jonathan Demke, Kazjon Grace, Francisco Ibarrola, Dan Ventura:
Transformational Creativity Through the Lens of Quality-Diversity. ICCC 2023: 304-307 - [c97]Brad Spendlove, Dan Ventura:
Constraints as Catalysts: A (De)Construction of Codenames as a Creative Task. ICCC 2023: 337-341 - [c96]Tomas Lawton
, Francisco Javier Ibarrola
Drawing with Reframer: Emergence and Control in Co-Creative AI. IUI 2023: 264-277 - 2022
- [j34]Paul M. Bodily
Steerable Music Generation which Satisfies Long-Range Dependency Constraints. Trans. Int. Soc. Music. Inf. Retr. 5(1): 71-86 (2022) - [c95]Paul M. Bodily, Dan Ventura:
Open Computational Creativity Problems in Computational Theory. ICCC 2022: 112-120 - [c94]Daniel G. Brown, Dan Ventura:
Ethics, Aesthetics and Computational Creativity. ICCC 2022: 150-158 - [c93]Brad Spendlove, Dan Ventura:
Competitive Language Games as Creative Tasks with Well-Defined Goals. ICCC 2022: 291-299 - [c92]Robert Morain, Kenneth Vargas, Dan Ventura:
Symbolic Semantic Memory in Transformer Language Models. ICMLA 2022: 992-998 - 2021
- [c91]Paul M. Bodily, Dan Ventura:
Inferring Structural Constraints in Musical Sequences via Multiple Self-Alignment. CogSci 2021 - [c90]Puneet Jain, Najma Mathema, Jonathan Skaggs, Dan Ventura:
Ideation via Critic-Based Exploration of Generator Latent Space. ICCC 2021: 377-385 - [c89]Jonathan Demke, Robert Morain, Connor Wilhelm, Dan Ventura:
Multi-agent Story-based Settlement Generation. ICTAI 2021: 1149-1153 - 2020
- [c88]Oliver Bown, Kazjon Grace, Liam Bray, Dan Ventura:
A Speculative Exploration of the Role of Dialogue in Human-ComputerCo-creation. ICCC 2020: 25-32 - [c87]Paul M. Bodily, Dan Ventura:
What Happens When a Computer Joins the Group? ICCC 2020: 41-48 - [c86]Brad Spendlove, Dan Ventura:
Creating Six-word Stories via Inferred Linguistic and Semantic Formats. ICCC 2020: 123-130 - [c85]Brad Spendlove, Dan Ventura:
Humans in the Black Box: A New Paradigm for Evaluating the Design of Creative Systems. ICCC 2020: 311-318
2010 – 2019
- 2019
- [j33]Jukka M. Toivanen
Towards transformational creation of novel songs. Connect. Sci. 31(1): 4-32 (2019) - [c84]Brad Spendlove, Dan Ventura:
Modeling Knowledge, Expression, and Aesthetics via Sensory Grounding. ICCC 2019: 326-330 - [c83]Robert Smith, Jebediah Rosen, Dan Ventura:
Adapting Standard External Clustering Metrics for Repetitive, Noisy Observations. ICMLA 2019: 908-914 - [c82]Benjamin Bay, Paul M. Bodily, Dan Ventura:
Dynamically Scoring Rhymes with Phonetic Features and Sequence Alignment. ICTAI 2019: 1581-1585 - [p1]Dan Ventura:
Autonomous Intentionality in Computationally Creative Systems. Computational Creativity 2019: 49-69 - [e7]Kazjon Grace, Michael Cook, Dan Ventura, Mary Lou Maher:
Proceedings of the Tenth International Conference on Computational Creativity, ICCC 2019, Charlotte, North Carolina, USA, June 17-21, 2019. Association for Computational Creativity (ACC) 2019, ISBN 978-989-54160-1-1 [contents] - 2018
- [j32]Aurora Tulilaulu, Matti Nelimarkka
Data Musicalization. ACM Trans. Multim. Comput. Commun. Appl. 14(2): 47:1-47:27 (2018) - [c81]Dan Ventura:
Ethics as Aesthetic for Artificial General Intelligence. AAAI Spring Symposia 2018 - [c80]Paul M. Bodily, Dan Ventura:
Explainability: An Aesthetic for Aesthetics in Computational Creative Systems. ICCC 2018: 153-160 - [c79]Nathan Zabriskie, Brad Spendlove, Dan Ventura:
An HBPL-based Approach to the Creation of Six-word Stories. ICCC 2018: 161-168 - [c78]Dan Ventura, Darin Gates:
Ethics as Aesthetic: A Computational Creativity Approach to Ethical Behavior. ICCC 2018: 185-191 - 2017
- [c77]Derrall Heath, Dan Ventura:
Semantic Style Creation. AAAI Workshops 2017 - [c76]Margareta Ackerman, Ashok K. Goel, Colin G. Johnson, Anna Jordanous, Carlos León, Rafael Pérez y Pérez, Hannu Toivonen, Dan Ventura:
Teaching Computational Creativity. ICCC 2017: 9-16 - [c75]Benjamin Bay, Paul M. Bodily, Dan Ventura:
Text Transformation Via Constraints and Word Embedding. ICCC 2017: 49-56 - [c74]Paul M. Bodily, Benjamin Bay, Dan Ventura:
Computational Creativity via Human-Level Concept Learning. ICCC 2017: 57-64 - [c73]Dan Ventura:
How to Build a CC System. ICCC 2017: 253-260 - [c72]Aaron W. Dennis, Dan Ventura:
Online Structure-Search for Sum-Product Networks. ICMLA 2017: 155-160 - [c71]Aaron W. Dennis, Dan Ventura:
Autoencoder-Enhanced Sum-Product Networks. ICMLA 2017: 1041-1044 - 2016
- [j31]Paul M. Bodily, M. Stanley Fujimoto, Quinn Snell, Dan Ventura, Mark J. Clement:
ScaffoldScaffolder: solving contig orientation via bidirected to directed graph reduction. Bioinform. 32(1): 17-24 (2016) - [j30]Daniel Johnson, Dan Ventura:
Musical Motif Discovery from Non-Musical Inspiration Sources. Comput. Entertain. 14(2): 7:1-7:22 (2016) - [j29]Alok Desai
An efficient feature descriptor based on synthetic basis functions and uniqueness matching strategy. Comput. Vis. Image Underst. 142: 37-49 (2016) - [c70]Derrall Heath, Dan Ventura:
Creating Images by Learning Image Semantics Using Vector Space Models. AAAI 2016: 1202-1208 - [c69]Dan Ventura:
Beyond computational intelligence to computational creativity in games. CIG 2016: 1-8 - [c68]Dan Ventura:
Mere Generation: Essential Barometer or Dated Concept? ICCC 2016: 17-24 - [c67]Derrall Heath, Dan Ventura:
Before A Computer Can Draw, It Must First Learn To See. ICCC 2016: 172-179 - 2015
- [j28]Robert Smith, Dan Ventura, John T. Prince:
LC-MS alignment in theory and practice: a comprehensive algorithmic review. Briefings Bioinform. 16(1): 104-117 (2015) - [j27]Robert Smith, John T. Prince, Dan Ventura:
A coherent mathematical characterization of isotope trace extraction, isotopic envelope extraction, and LC-MS correspondence. BMC Bioinform. 16(S-7): S1 (2015) - [c66]Martin Mumford, Dan Ventura:
The man behind the curtain: Overcoming skepticism about creative computers. ICCC 2015: 1-7 - [c65]David Norton, Derrall Heath, Dan Ventura:
Accounting for Bias in the Evaluation of Creative Computational Systems: An Assessment of DARCI. ICCC 2015: 31-38 - [c64]Simon Colton, Jakob Halskov, Dan Ventura, Ian Gouldstone, Michael Cook, Blanca Pérez Ferrer:
The Painting Fool Sees! New Projects with the Automated Painter. ICCC 2015: 189-196 - [c63]Derrall Heath, Aaron W. Dennis, Dan Ventura:
Imagining Imagination: A Computational Framework Using Associative Memory Models and Vector Space Models. ICCC 2015: 244-251 - [c62]Jared Lundell, Charles DuHadway, Dan Ventura:
Data-Driven Kernels via Semi-supervised Clustering on the Manifold. ICMLA 2015: 487-492 - [c61]Aaron W. Dennis, Dan Ventura:
Greedy Structure Search for Sum-Product Networks. IJCAI 2015: 932-938 - [e6]Hannu Toivonen, Simon Colton, Michael Cook, Dan Ventura:
Proceedings of the Sixth International Conference on Computational Creativity, ICCC 2015, Park City, Utah, USA, June 29 - July 2, 2015. computationalcreativity.net 2015, ISBN 978-0-8425-2970-9 [contents] - 2014
- [j26]Robert Smith, Dan Ventura, John T. Prince:
Controlling for confounding variables in MS-omics protocol: why modularity matters. Briefings Bioinform. 15(5): 768-770 (2014) - [j25]Robert Smith, Andrew D. Mathis, Dan Ventura, John T. Prince:
Proteomics, lipidomics, metabolomics: a mass spectrometry tutorial from a computer scientist's point of view. BMC Bioinform. 15(S-7): S9 (2014) - [j24]Derrall Heath, Dan Ventura:
Improving Multilabel Classification by Avoiding Implicit Negativity with Incomplete Data. Comput. Intell. 30(3): 535-561 (2014) - [j23]Spencer G. Fowers, Alok Desai
TreeBASIS Feature Descriptor and Its Hardware Implementation. Int. J. Reconfigurable Comput. 2014: 606210:1-606210:12 (2014) - [j22]Spencer G. Fowers, Alok Desai, Dah-Jye Lee, Dan Ventura, Doran Wilde:
Efficient Tree-Based Feature Descriptor and Matching Algorithm. J. Aerosp. Inf. Syst. 11(9): 596-606 (2014) - [j21]Derrall Heath, David Norton, Dan Ventura:
Conveying Semantics through Visual Metaphor. ACM Trans. Intell. Syst. Technol. 5(2): 31:1-31:17 (2014) - [c60]Dan Ventura:
Can a Computer be Lucky? And Other Ridiculous Questions Posed by Computational Creativity. AGI 2014: 208-217 - [c59]David Norton, Derrall Heath, Dan Ventura:
Autonomously Managing Competing Objectives to Improve the Creation and Curation of Artifacts. ICCC 2014: 23-32 - [c58]Daniel Johnson, Dan Ventura:
Musical Motif Discovery in Non-musical Media. ICCC 2014: 91-99 - [c57]Michael R. Smith, Ryan S. Hintze, Dan Ventura:
Nehovah: A Neologism Creator Nomen Ipsum. ICCC 2014: 173-181 - [c56]Simon Colton, Dan Ventura:
You Can't Know my Mind: A Festival of Computational Creativity. ICCC 2014: 351-354 - [c55]Adam Drake, Dan Ventura:
Improving Spectral Learning by Using Multiple Representations. ICMLA 2014: 147-152 - [c54]Adam Drake, Dan Ventura:
Using Spectral Features to Improve Sentiment Analysis. ICMLA 2014: 153-158 - [c53]Alok Desai, Dah-Jye Lee, Dan Ventura:
Matching Affine Features with the SYBA Feature Descriptor. ISVC (2) 2014: 448-457 - [e5]Simon Colton, Dan Ventura, Nada Lavrac, Michael Cook:
Proceedings of the Fifth International Conference on Computational Creativity, ICCC 2014, Ljubljana, Slovenia, June 10-13, 2014. computationalcreativity.net 2014, ISBN 978-961-264-055-2 [contents] - 2013
- [j20]Robert Smith, Dan Ventura, John T. Prince
Novel algorithms and the benefits of comparative validation. Bioinform. 29(12): 1583-1585 (2013) - [j19]Robert Smith, Tamil S. Anthonymuthu, Dan Ventura, John T. Prince
Statistical agglomeration: peak summarization for direct infusion lipidomics. Bioinform. 29(19): 2445-2451 (2013) - [j18]Robert Smith, Dan Ventura:
A general model for continuous noninvasive pulmonary artery pressure estimation. Comput. Biol. Medicine 43(7): 904-913 (2013) - [j17]Spencer G. Fowers, Dah-Jye Lee, Dan A. Ventura, Beau J. Tippetts:
Novel Feature Descriptor for Low-Resource Embedded Vision Sensors for Micro Unmanned-Aerial-Vehicle Applications. J. Aerosp. Inf. Syst. 10(8): 385-395 (2013) - [j16]Robert Smith, Ryan Williamson, Dan Ventura, John T. Prince
Rubabel: Wrapping OpenBabel with Ruby. J. Cheminformatics 5: 35 (2013) - [j15]Robert Van Dam, Irene Langkilde-Geary, Dan Ventura:
Adapting ADtrees for improved performance on large datasets with high-arity features. Knowl. Inf. Syst. 35(3): 525-552 (2013) - [j14]Spencer G. Fowers, Dah-Jye Lee, Dan A. Ventura, James K. Archibald:
The Nature-Inspired BASIS Feature Descriptor for UAV Imagery and Its Hardware Implementation. IEEE Trans. Circuits Syst. Video Technol. 23(5): 756-768 (2013) - [c52]Kristine Monteith, Bruce Brown, Dan Ventura, Tony R. Martinez:
Automatic Generation of Music for Inducing Physiological Response. CogSci 2013 - [c51]Derrall Heath, David Norton, Dan Ventura:
Autonomously Communicating Conceptual Knowledge Through Visual Art. ICCC 2013: 97-104 - [c50]Adam Drake, Dan Ventura:
An Empirical Comparison of Spectral Learning Methods for Classification. ICMLA (1) 2013: 9-14 - [c49]Derrall Heath, David Norton, Eric K. Ringger, Dan Ventura:
Semantic Models as a Combination of Free Association Norms and Corpus-Based Correlations. ICSC 2013: 48-55 - 2012
- [j13]Kenneth Sundberg, Mark J. Clement, Quinn Snell, Dan Ventura, Michael Whiting, Keith A. Crandall
Phylogenetic search through partial tree mixing. BMC Bioinform. 13(S-13): S8 (2012) - [j12]Toh Koon Charlie Neo, Dan Ventura:
A direct boosting algorithm for the k-nearest neighbor classifier via local warping of the distance metric. Pattern Recognit. Lett. 33(1): 92-102 (2012) - [c48]Dan Ventura:
Rational Irrationality. AAAI Spring Symposium: Game Theory for Security, Sustainability, and Health 2012 - [c47]Skyler Murray, Dan Ventura:
Algorithmically Flexible Style Composition Through Multi-Objective Fitness Functions. MUME@AIIDE 2012 - [c46]Kristine Monteith, Tony R. Martinez, Dan Ventura:
Automatic Generation of Melodic Accompaniments for Lyrics. ICCC 2012: 87-94 - [c45]Richard G. Morris, Scott H. Burton, Paul M. Bodily, Dan Ventura:
Soup Over Bean of Pure Joy: Culinary Ruminations of an Artificial Chef. ICCC 2012: 119-125 - [c44]Robert Smith, Aaron W. Dennis, Dan Ventura:
Automatic Composition from Non-musical Inspiration Sources. ICCC 2012: 160-164 - [c43]Aaron W. Dennis, Dan Ventura:
Learning the Architecture of Sum-Product Networks Using Clustering on Variables. NIPS 2012: 2042-2050 - [e4]Mary Lou Maher, Kristian J. Hammond, Alison Pease, Rafael Pérez y Pérez, Dan Ventura, Geraint A. Wiggins:
Proceedings of the Third International Conference on Computational Creativity, ICCC 2012, Dublin, Ireland, May 30 - June 1, 2012. computationalcreativity.net 2012, ISBN 978-1-905254668 [contents] - 2011
- [j11]Michael Gashler, Dan Ventura, Tony R. Martinez:
Manifold Learning by Graduated Optimization. IEEE Trans. Syst. Man Cybern. Part B 41(6): 1458-1470 (2011) - [c42]David Norton, Derrall Heath, Dan Ventura:
An artistic dialogue with the artificial. Creativity & Cognition 2011: 31-40 - [c41]David Norton, Derrall Heath, Dan Ventura:
Fitness function: turning the loop inside out. Creativity & Cognition 2011: 425-426 - [c40]David Norton, Derrall Heath, Dan Ventura:
Autonomously Creating Quality Images. ICCC 2011: 10-15 - [c39]Kristine Monteith, Virginia Francisco, Tony R. Martinez, Pablo Gervás, Dan Ventura:
Automatic Generation of Emotionally-Targeted Soundtracks. ICCC 2011: 60-62 - [c38]Dan Ventura:
No Free Lunch in the Search for Creativity. ICCC 2011: 108-110 - [c37]Kyle B. Dickerson, Dan Ventura:
A SOM-based multimodal system for musical query-by-content. IJCNN 2011: 291-298 - [e3]Dan Ventura, Pablo Gervás, D. Fox Harrell, Mary Lou Maher, Alison Pease, Geraint A. Wiggins:
Proceedings of the Second International Conference on Computational Creativity, ICCC 2011, Mexico City, Mexico, April 27-29, 2011. computationalcreativity.net 2011, ISBN 978-607-477-487-0 [contents] - 2010
- [j10]Aaron W. Dennis, Andrew D. Michaels, Patti Arand, Dan Ventura:
Noninvasive diagnosis of pulmonary hypertension using heart sound analysis. Comput. Biol. Medicine 40(9): 758-764 (2010) - [j9]Jeffrey S. Whiting, Jonathan Dinerstein, Parris K. Egbert, Dan Ventura:
Cognitive and Behavioral Model Ensembles for Autonomous Virtual Characters. Comput. Intell. 26(2): 142-159 (2010) - [j8]David Norton, Dan Ventura:
Improving liquid state machines through iterative refinement of the reservoir. Neurocomputing 73(16-18): 2893-2904 (2010) - [c36]David Norton, Derrall Heath, Dan Ventura:
Establishing Appreciation in a Creative System. ICCC 2010: 26-35 - [c35]Kristine Monteith, Tony R. Martinez, Dan Ventura:
Automatic Generation of Music for Inducing Emotive Response. ICCC 2010: 140-149 - [e2]Dan Ventura, Alison Pease, Rafael Pérez y Pérez, Graeme Ritchie, Tony Veale:
Proceedings of the International Conference on Computational Creativity, ICCC 2010, Lisbon, Portugal, January 7-9, 2010. computationalcreativity.net 2010, ISBN 978-989-96001-2-6 [contents]
2000 – 2009
- 2009
- [c34]Dan Ventura:
A sub-symbolic model of the cognitive processes of re-representation and insight. Creativity & Cognition 2009: 409-410 - [c33]Neil Toronto, Bryan S. Morse, Kevin D. Seppi, Dan Ventura:
Super-resolution via recapture and Bayesian effect modeling. CVPR 2009: 2388-2395 - [c32]Ilya Raykhel, Dan Ventura:
Real-time Automatic Price Prediction for eBay Online Trading. IAAI 2009 - [c31]Adam Drake, Dan Ventura:
Search Techniques for Fourier-Based Learning. IJCAI 2009: 1040-1045 - [c30]Kyle B. Dickerson, Dan Ventura:
Music recommendation and query-by-content using Self-Organizing Maps. IJCNN 2009: 705-710 - [c29]David Norton, Dan Ventura:
Improving the separability of a reservoir facilitates learning transfer. IJCNN 2009: 2288-2293 - 2008
- [j7]Marcello Balduccini, Chitta Baral, Boyan Brodaric, Simon Colton, Peter Fox, David Gutelius, Knut Hinkelmann, Ian Horswill, Bernardo A. Huberman, Eva Hudlicka, Kristina Lerman, Christine L. Lisetti
AAAI 2008 Spring Symposia Reports. AI Mag. 29(3): 107-115 (2008) - [j6]Jonathan Dinerstein, Parris K. Egbert, Dan Ventura, Michael A. Goodrich
Demonstration-Based Behavior Programming for Embodied Virtual Agents. Comput. Intell. 24(4): 235-256 (2008) - [c28]Robert Van Dam, Irene Langkilde-Geary, Dan Ventura:
Adapting ADtrees for High Arity Features. AAAI 2008: 708-713 - [c27]Jonathan Dinerstein, Parris K. Egbert, Dan Ventura, Michael A. Goodrich:
Data-Driven Programming and Behavior for Autonomous Virtual Characters. AAAI 2008: 1450-1451 - [c26]Dan Ventura:
Sub-symbolic Re-representation to Facilitate Learning Transfer. AAAI Spring Symposium: Creative Intelligent Systems 2008: 128-134 - [c25]Dan Ventura, Mary Lou Maher, Simon Colton:
Organizing Committee. AAAI Spring Symposium: Creative Intelligent Systems 2008 - [c24]Dan Ventura, Mary Lou Maher, Simon Colton:
Preface. AAAI Spring Symposium: Creative Intelligent Systems 2008 - [c23]Adam Drake, Eric K. Ringger, Dan Ventura:
Sentiment Regression: Using Real-Valued Scores to Summarize Overall Document Sentiment. ICSC 2008: 152-157 - 2007
- [c22]Neil Toronto, Bryan S. Morse, Dan Ventura, Kevin D. Seppi:
The Hough Transform's Implicit Bayesian Foundation. ICIP (4) 2007: 377-380 - [c21]Nancy Fulda, Dan Ventura:
Predicting and Preventing Coordination Problems in Cooperative Q-learning Systems. IJCAI 2007: 780-785 - [c20]Jonathan Dinerstein, Parris K. Egbert, Dan Ventura:
Learning Policies for Embodied Virtual Agents through Demonstration. IJCAI 2007: 1257-1262 - [c19]Michael Gashler, Dan Ventura, Tony R. Martinez:
Iterative Non-linear Dimensionality Reduction with Manifold Sculpting. NIPS 2007: 513-520 - [c18]Robert Van Dam, Dan Ventura:
ADtrees for sequential data and n-gram Counting. SMC 2007: 492-497 - [c17]Sabra Dinerstein, Jonathan Dinerstein, Dan Ventura:
Robust multi-modal biometric fusion via multiple SVMs. SMC 2007: 1530-1535 - [c16]Jared Lundell, Dan Ventura:
A data-dependent distance measure for transductive instance-based learning. SMC 2007: 2825-2830 - 2006
- [j5]Kaivan Kamali, Dan Ventura, Amulya Garga, Soundar R. T. Kumara:
Geometric Task Decomposition in a Multi-Agent Environment. Appl. Artif. Intell. 20(5): 437-456 (2006) - [c15]Neil Toronto, Dan Ventura:
Learning Quantum Operators From Quantum State Pairs. IEEE Congress on Evolutionary Computation 2006: 2607-2612 - [c14]Nancy Fulda, Dan Ventura:
Learning a Rendezvous Task with Dynamic Joint Action Perception. IJCNN 2006: 235-240 - [c13]Eric Goodman, Dan Ventura:
Spatiotemporal Pattern Recognition via Liquid State Machines. IJCNN 2006: 3848-3853 - [c12]David Norton, Dan Ventura:
Preparing More Effective Liquid State Machines Using Hebbian Learning. IJCNN 2006: 4243-4248 - 2005
- [j4]Jonathan Dinerstein, Dan Ventura, Parris K. Egbert:
Fast and Robust Incremental Action Prediction for Interactive Agents. Comput. Intell. 21(1): 90-110 (2005) - [c11]Adam Drake, Dan Ventura:
A practical generalization of Fourier-based learning. ICML 2005: 185-192 - 2003
- [c10]Nancy Fulda, Dan Ventura:
Dynamic Joint Action Perception for Q-Learning Agents. ICMLA 2003: 73-79 - [c9]Bob Ricks, Dan Ventura:
Training a Quantum Neural Network. NIPS 2003: 1019-1026 - 2002
- [c8]Dan Ventura:
Pattern Classification Using a Quantum System. JCIS 2002: 537-540 - [e1]H. John Caulfield, Shu-Heng Chen, Heng-Da Cheng, Richard J. Duro, Vasant G. Honavar, Etienne E. Kerre, Mi Lu, Manuel Graña Romay, Timothy K. Shih, Dan Ventura, Paul P. Wang, Yuanyuan Yang:
Proceedings of the 6th Joint Conference on Information Science, March 8-13, 2002, Research Triangle Park, North Carolina, USA. JCIS / Association for Intelligent Machinery, Inc. 2002, ISBN 0-9707890-1-7 [contents] - 2000
- [j3]Dan Ventura, Tony R. Martinez:
Quantum associative memory. Inf. Sci. 124(1-4): 273-296 (2000) - [j2]Dan Ventura, Subhash C. Kak:
Quantum computing and neural information processing. Inf. Sci. 128(3-4): 147-148 (2000) - [j1]A. A. Ezhov, A. V. Nifanova, Dan Ventura:
Quantum associative memory with distributed queries. Inf. Sci. 128(3-4): 271-293 (2000)
1990 – 1999
- 1999
- [c7]Dan Ventura, Tony R. Martinez:
A Quantum Associative Memory Based on Grover's Algorithm. ICANNGA 1999: 22-27 - [c6]Dan Ventura:
Implementing competitive learning in a quantum system. IJCNN 1999: 462-466 - [c5]D. Randall Wilson, Dan Ventura, Brian Moncur, Tony R. Martinez:
The robustness of relaxation rates in constraint satisfaction networks. IJCNN 1999: 650-654 - [c4]Dan Ventura, D. Randall Wilson, Brian Moncur, Tony R. Martinez:
A neural model of centered tri-gram speech recognition. IJCNN 1999: 3050-3053 - 1997
- [c3]Dan Ventura, Tony R. Martinez:
An Artificial Neuron with Quantum Mechanical Properties. ICANNGA 1997: 482-485 - 1996
- [c2]Dan Ventura, Tony R. Martinez:
Robust optimization using training set evolution. ICNN 1996: 524-528 - 1995
- [c1]Dan Ventura, Tim Andersen, Tony R. Martinez:
Using Evolutionary Computation to Generate Training Set Data for Neural Networks. ICANNGA 1995: 468-471
Coauthor Index
manage site settings
To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.
Unpaywalled article links
Add open access links from to the list of external document links (if available).
Privacy notice: By enabling the option above, your browser will contact the API of unpaywall.org to load hyperlinks to open access articles. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Unpaywall privacy policy.
Archived links via Wayback Machine
For web page which are no longer available, try to retrieve content from the of the Internet Archive (if available).
Privacy notice: By enabling the option above, your browser will contact the API of archive.org to check for archived content of web pages that are no longer available. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Internet Archive privacy policy.
Reference lists
Add a list of references from ,
, and
to record detail pages.
load references from crossref.org and opencitations.net
Privacy notice: By enabling the option above, your browser will contact the APIs of crossref.org, opencitations.net, and semanticscholar.org to load article reference information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Crossref privacy policy and the OpenCitations privacy policy, as well as the AI2 Privacy Policy covering Semantic Scholar.
Citation data
Add a list of citing articles from and
to record detail pages.
load citations from opencitations.net
Privacy notice: By enabling the option above, your browser will contact the API of opencitations.net and semanticscholar.org to load citation information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the OpenCitations privacy policy as well as the AI2 Privacy Policy covering Semantic Scholar.
OpenAlex data
Load additional information about publications from .
Privacy notice: By enabling the option above, your browser will contact the API of openalex.org to load additional information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the information given by OpenAlex.
last updated on 2024-12-26 00:45 CET by the dblp team
all metadata released as open data under CC0 1.0 license
see also: Terms of Use | Privacy Policy | Imprint
dblp was originally created in 1993 at:
since 2018, dblp has been operated and maintained by:
the dblp computer science bibliography is funded and supported by: