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» On the Bit Extraction Problem
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99
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ISMB
1993
15 years 5 months ago
Finding Relevant Biomolecular Features
Manymethods for analyzing biological problems are constrained by problemsize. Theability to distinguish betweenrelevant andirrelevant features of a problemmay allowa problemto be ...
Lawrence Hunter, Teri E. Klein
AAMAS
2007
Springer
15 years 4 months ago
Parallel Reinforcement Learning with Linear Function Approximation
In this paper, we investigate the use of parallelization in reinforcement learning (RL), with the goal of learning optimal policies for single-agent RL problems more quickly by us...
Matthew Grounds, Daniel Kudenko
IJON
2007
124views more  IJON 2007»
15 years 3 months ago
Palmprint recognition with 2DPCA+PCA based on modular neural networks
In this letter, a novel modular neural network (MNN) classifier, which partitions a K-class problem into many much easier two-class problems in sub-subspaces, was proposed to per...
Zhong-Qiu Zhao, De-Shuang Huang, Wei Jia
118
Voted
IVC
2002
85views more  IVC 2002»
15 years 3 months ago
Multi-modal gray-level histogram modeling and decomposition
In this paper, we present a novel multi-modal histogram thresholding method in which no a priori knowledge about the number of clusters to be extracted is needed. The proposed met...
Jeng-Horng Chang, Kuo-Chin Fan, Yang-Lang Chang
ICDAR
2009
IEEE
15 years 1 months ago
Using Kernel Density Classifier with Topic Model and Cost Sensitive Learning for Automatic Text Categorization
This paper proposes a novel framework for automatic text categorization problem based on the kernel density classifier. The overall goal is to tackle two main issues in automatic ...
Dwi Sianto Mansjur, Ted S. Wada, Biing-Hwang Juang