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NIPS
2003
15 years 8 months ago
Learning the k in k-means
When clustering a dataset, the right number k of clusters to use is often not obvious, and choosing k automatically is a hard algorithmic problem. In this paper we present an impr...
Greg Hamerly, Charles Elkan
IIE
2008
98views more  IIE 2008»
15 years 6 months ago
Data Mining Application in Higher Learning Institutions
One of the biggest challenges that higher learning institutions face today is to improve the quality of managerial decisions. The managerial decision making process becomes more co...
Naeimeh Delavari, Somnuk Phon-Amnuaisuk, M. Reza B...
CMOT
1999
143views more  CMOT 1999»
15 years 6 months ago
Structural Learning: Attraction and Conformity in Task-Oriented Groups
This study extends previous research that showed how informal social sanctions can backfire when members prefer friendship over enforcement of group norms. We use a type of neural...
James A. Kitts, Michael W. Macy, Andreas Flache
AAAI
2012
13 years 9 months ago
Kernel-Based Reinforcement Learning on Representative States
Markov decision processes (MDPs) are an established framework for solving sequential decision-making problems under uncertainty. In this work, we propose a new method for batchmod...
Branislav Kveton, Georgios Theocharous
ECML
2000
Springer
15 years 11 months ago
Learning Context-Free Grammars with a Simplicity Bias
We examine the role of simplicity in directing the induction of context-free grammars from sample sentences. We present a rational reconstruction of Wol 's SNPR { the Gridssys...
Pat Langley, Sean Stromsten