Sciweavers

1838 search results - page 149 / 368
» Competitive Collaborative Learning
Sort
View
165
Voted
NIPS
1992
15 years 4 months ago
A Note on Learning Vector Quantization
Vector Quantization is useful for data compression. Competitive Learning which minimizes reconstruction error is an appropriate algorithm for vector quantization of unlabelled dat...
Virginia R. de Sa, Dana H. Ballard
122
Voted
CORR
2010
Springer
146views Education» more  CORR 2010»
15 years 3 months ago
Adaptive Submodularity: A New Approach to Active Learning and Stochastic Optimization
Solving stochastic optimization problems under partial observability, where one needs to adaptively make decisions with uncertain outcomes, is a fundamental but notoriously diffic...
Daniel Golovin, Andreas Krause
151
Voted
KI
2008
Springer
15 years 3 months ago
Learning by Observing: Case-Based Decision Making in Complex Strategy Games
Abstract. There is a growing research interest in the design of competitive and adaptive Game AI for complex computer strategy games. In this paper, we present a novel approach for...
Darko Obradovic, Armin Stahl
130
Voted
JMLR
2010
119views more  JMLR 2010»
14 years 10 months ago
Semi-Supervised Learning via Generalized Maximum Entropy
Various supervised inference methods can be analyzed as convex duals of the generalized maximum entropy (MaxEnt) framework. Generalized MaxEnt aims to find a distribution that max...
Ayse Erkan, Yasemin Altun
132
Voted
ACL
2010
15 years 1 months ago
A Structured Model for Joint Learning of Argument Roles and Predicate Senses
In predicate-argument structure analysis, it is important to capture non-local dependencies among arguments and interdependencies between the sense of a predicate and the semantic...
Yotaro Watanabe, Masayuki Asahara, Yuji Matsumoto