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IJKESDP
2010
94views more  IJKESDP 2010»
13 years 2 months ago
Neuro-fuzzy-combiner: an effective multiple classifier system
: A neuro-fuzzy-combiner (NFC) is proposed to design an efficient multiple classifier system (MCS) with an aim to have an effective solution scheme for difficult classification pro...
Ashish Ghosh, B. Uma Shankar, Lorenzo Bruzzone, Sa...
JMLR
2010
145views more  JMLR 2010»
13 years 2 months ago
Parallelizable Sampling of Markov Random Fields
Markov Random Fields (MRFs) are an important class of probabilistic models which are used for density estimation, classification, denoising, and for constructing Deep Belief Netwo...
James Martens, Ilya Sutskever
JMLR
2010
134views more  JMLR 2010»
13 years 2 months ago
Inference of Graphical Causal Models: Representing the Meaningful Information of Probability Distributions
This paper studies the feasibility and interpretation of learning the causal structure from observational data with the principles behind the Kolmogorov Minimal Sufficient Statist...
Jan Lemeire, Kris Steenhaut
TNN
2010
227views Management» more  TNN 2010»
13 years 2 months ago
Self-Organizing MultiLayer Perceptron
Abstract--A set of Artificial Neural Network (ANN) based methods for the design of an effective system of speech recognition of numerals of Assamese language captured under varied ...
B. Gas
CORR
2010
Springer
175views Education» more  CORR 2010»
13 years 2 months ago
On the Combinatorial Multi-Armed Bandit Problem with Markovian Rewards
We consider a combinatorial generalization of the classical multi-armed bandit problem that is defined as follows. There is a given bipartite graph of M users and N M resources. F...
Yi Gai, Bhaskar Krishnamachari, Mingyan Liu