Dan Ventura

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22 Jonathan Dinerstein, Parris K. Egbert, Dan Ventura, Michael A. Goodrich: Data-Driven Programming and Behavior for Autonomous Virtual Characters. AAAI 2008: 1450-1451
21 Robert Van Dam, Irene Langkilde-Geary, Dan Ventura: Adapting ADtrees for High Arity Features. AAAI 2008: 708-713
20EEAdam Drake, Eric K. Ringger, Dan Ventura: Sentiment Regression: Using Real-Valued Scores to Summarize Overall Document Sentiment. ICSC 2008: 152-157
19EENeil Toronto, Bryan S. Morse, Dan Ventura, Kevin D. Seppi: The Hough Transform's Implicit Bayesian Foundation. ICIP (4) 2007: 377-380
18EEJonathan Dinerstein, Parris K. Egbert, Dan Ventura: Learning Policies for Embodied Virtual Agents through Demonstration. IJCAI 2007: 1257-1262
17EENancy Fulda, Dan Ventura: Predicting and Preventing Coordination Problems in Cooperative Q-learning Systems. IJCAI 2007: 780-785
16EEMichael Gashler, Dan Ventura, Tony R. Martinez: Iterative Non-linear Dimensionality Reduction with Manifold Sculpting. NIPS 2007
15EESabra Dinerstein, Jonathan Dinerstein, Dan Ventura: Robust multi-modal biometric fusion via multiple SVMs. SMC 2007: 1530-1535
14EEJared Lundell, Dan Ventura: A data-dependent distance measure for transductive instance-based learning. SMC 2007: 2825-2830
13EERobert Van Dam, Dan Ventura: ADtrees for sequential data and n-gram Counting. SMC 2007: 492-497
12EENancy Fulda, Dan Ventura: Learning a Rendezvous Task with Dynamic Joint Action Perception. IJCNN 2006: 235-240
11EEEric Goodman, Dan Ventura: Spatiotemporal Pattern Recognition via Liquid State Machines. IJCNN 2006: 3848-3853
10EEDavid Norton, Dan Ventura: Preparing More Effective Liquid State Machines Using Hebbian Learning. IJCNN 2006: 4243-4248
9EEKaivan Kamali, Dan Ventura, Amulya Garga, Soundar R. T. Kumara: Geometric Task Decomposition in a Multi-Agent Environment. Applied Artificial Intelligence 20(5): 437-456 (2006)
8EEAdam Drake, Dan Ventura: A practical generalization of Fourier-based learning. ICML 2005: 185-192
7 Nancy Fulda, Dan Ventura: Dynamic Joint Action Perception for Q-Learning Agents. ICMLA 2003: 73-79
6EEBob Ricks, Dan Ventura: Training a Quantum Neural Network. NIPS 2003
5 H. John Caulfield, Shu-Heng Chen, Heng-Da Cheng, Richard J. Duro, Vasant Honavar, Etienne E. Kerre, Mi Lu, Manuel Grana 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
4 Dan Ventura: Pattern Classification Using a Quantum System. JCIS 2002: 537-540
3 Dan Ventura, Tony R. Martinez: Quantum associative memory. Inf. Sci. 124(1-4): 273-296 (2000)
2 Dan Ventura, Subhash C. Kak: Quantum computing and neural information processing. Inf. Sci. 128(3-4): 147-148 (2000)
1 A. A. Ezhov, A. V. Nifanova, Dan Ventura: Quantum associative memory with distributed queries. Inf. Sci. 128(3-4): 271-293 (2000)

Coauthor Index

1H. John Caulfield [5]
2Shu-Heng Chen [5]
3Heng-Da Cheng [5]
4Robert Van Dam [13] [21]
5Jonathan Dinerstein [15] [18] [22]
6Sabra Dinerstein [15]
7Adam Drake [8] [20]
8Richard J. Duro [5]
9Parris K. Egbert [18] [22]
10A. A. Ezhov [1]
11Nancy Fulda [7] [12] [17]
12Amulya Garga [9]
13Michael Gashler [16]
14Eric Goodman [11]
15Michael A. Goodrich [22]
16Vasant Honavar [5]
17Subhash C. Kak [2]
18Kaivan Kamali [9]
19Etienne E. Kerre [5]
20Soundar R. T. Kumara [9]
21Irene Langkilde-Geary (Irene Langkilde) [21]
22Mi Lu [5]
23Jared Lundell [14]
24Tony R. Martinez [3] [16]
25Bryan S. Morse [19]
26A. V. Nifanova [1]
27David Norton [10]
28Bob Ricks [6]
29Eric K. Ringger [20]
30Manuel Grana Romay [5]
31Kevin D. Seppi [19]
32Timothy K. Shih [5]
33Neil Toronto [19]
34Paul P. Wang [5]
35Yuanyuan Yang [5]

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Copyright © Sun May 17 03:24:02 2009 by Michael Ley (ley@uni-trier.de)