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ICNC
2005
Springer
15 years 9 months ago
A Game-Theoretic Approach to Competitive Learning in Self-Organizing Maps
Abstract. Self-Organizing Maps (SOM) is a powerful tool for clustering and discovering patterns in data. Competitive learning in the SOM training process focusses on finding a neu...
Joseph P. Herbert, Jingtao Yao
155
Voted
NIPS
2004
15 years 4 months ago
Dynamic Bayesian Networks for Brain-Computer Interfaces
We describe an approach to building brain-computer interfaces (BCI) based on graphical models for probabilistic inference and learning. We show how a dynamic Bayesian network (DBN...
Pradeep Shenoy, Rajesh P. N. Rao
112
Voted
ICML
2006
IEEE
16 years 4 months ago
Efficient inference on sequence segmentation models
Sequence segmentation is a flexible and highly accurate mechanism for modeling several applications. Inference on segmentation models involves dynamic programming computations tha...
Sunita Sarawagi
137
Voted
AAAI
2006
15 years 4 months ago
Modeling Human Decision Making in Cliff-Edge Environments
In this paper we propose a model for human learning and decision making in environments of repeated Cliff-Edge (CE) interactions. In CE environments, which include common daily in...
Ron Katz, Sarit Kraus
142
Voted
AAAI
2011
14 years 3 months ago
Analogical Dialogue Acts: Supporting Learning by Reading Analogies in Instructional Texts
Analogy is heavily used in instructional texts. We introduce the concept of analogical dialogue acts (ADAs), which represent the roles utterances play in instructional analogies. ...
David Michael Barbella, Kenneth D. Forbus