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» On a theory of learning with similarity functions
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JCP
2007
100views more  JCP 2007»
13 years 7 months ago
Extraction of Unique Independent Components for Nonlinear Mixture of Sources
—In this paper, a neural network solution to extract independent components from nonlinearly mixed signals is proposed. Firstly, a structurally constrained mixing model is introd...
Pei Gao, Li Chin Khor, Wai Lok Woo, Satnam Singh D...
SIAMCOMP
2000
109views more  SIAMCOMP 2000»
13 years 7 months ago
Dual-Bounded Generating Problems: Partial and Multiple Transversals of a Hypergraph
Abstract. We consider two natural generalizations of the notion of transversal to a finite hypergraph, arising in data-mining and machine learning, the so called multiple and parti...
Endre Boros, Vladimir Gurvich, Leonid Khachiyan, K...
JMLR
2010
135views more  JMLR 2010»
13 years 6 months ago
Bundle Methods for Regularized Risk Minimization
A wide variety of machine learning problems can be described as minimizing a regularized risk functional, with different algorithms using different notions of risk and differen...
Choon Hui Teo, S. V. N. Vishwanathan, Alex J. Smol...
ATAL
2009
Springer
14 years 2 months ago
Easy and hard coalition resource game formation problems: a parameterized complexity analysis
Coalition formation is a key topic in multi–agent systems (mas). Coalitions enable agents to achieve goals that they may not have been able to achieve independently, and encoura...
Tammar Shrot, Yonatan Aumann, Sarit Kraus
TOPLAS
2008
81views more  TOPLAS 2008»
13 years 7 months ago
Size-change termination with difference constraints
lem of inferring termination from such abstract information is not the halting problem for programs and may well be decidable. If this is the case, the decision algorithm forms a &...
Amir M. Ben-Amram