Dan Ventura

2008
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
20	EE	Adam Drake, Eric K. Ringger, Dan Ventura: Sentiment Regression: Using Real-Valued Scores to Summarize Overall Document Sentiment. ICSC 2008: 152-157
2007
19	EE	Neil Toronto, Bryan S. Morse, Dan Ventura, Kevin D. Seppi: The Hough Transform's Implicit Bayesian Foundation. ICIP (4) 2007: 377-380
18	EE	Jonathan Dinerstein, Parris K. Egbert, Dan Ventura: Learning Policies for Embodied Virtual Agents through Demonstration. IJCAI 2007: 1257-1262
17	EE	Nancy Fulda, Dan Ventura: Predicting and Preventing Coordination Problems in Cooperative Q-learning Systems. IJCAI 2007: 780-785
16	EE	Michael Gashler, Dan Ventura, Tony R. Martinez: Iterative Non-linear Dimensionality Reduction with Manifold Sculpting. NIPS 2007
15	EE	Sabra Dinerstein, Jonathan Dinerstein, Dan Ventura: Robust multi-modal biometric fusion via multiple SVMs. SMC 2007: 1530-1535
14	EE	Jared Lundell, Dan Ventura: A data-dependent distance measure for transductive instance-based learning. SMC 2007: 2825-2830
13	EE	Robert Van Dam, Dan Ventura: ADtrees for sequential data and n-gram Counting. SMC 2007: 492-497
2006
12	EE	Nancy Fulda, Dan Ventura: Learning a Rendezvous Task with Dynamic Joint Action Perception. IJCNN 2006: 235-240
11	EE	Eric Goodman, Dan Ventura: Spatiotemporal Pattern Recognition via Liquid State Machines. IJCNN 2006: 3848-3853
10	EE	David Norton, Dan Ventura: Preparing More Effective Liquid State Machines Using Hebbian Learning. IJCNN 2006: 4243-4248
9	EE	Kaivan 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)
2005
8	EE	Adam Drake, Dan Ventura: A practical generalization of Fourier-based learning. ICML 2005: 185-192
2003
7		Nancy Fulda, Dan Ventura: Dynamic Joint Action Perception for Q-Learning Agents. ICMLA 2003: 73-79
6	EE	Bob Ricks, Dan Ventura: Training a Quantum Neural Network. NIPS 2003
2002
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
2000
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

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

Colors in the list of coauthors