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ICML
2003
IEEE
16 years 7 months ago
The Use of the Ambiguity Decomposition in Neural Network Ensemble Learning Methods
We analyze the formal grounding behind Negative Correlation (NC) Learning, an ensemble learning technique developed in the evolutionary computation literature. We show that by rem...
Gavin Brown, Jeremy L. Wyatt
ICML
1998
IEEE
16 years 7 months ago
The MAXQ Method for Hierarchical Reinforcement Learning
This paper presents a new approach to hierarchical reinforcement learning based on the MAXQ decomposition of the value function. The MAXQ decomposition has both a procedural seman...
Thomas G. Dietterich
ICASSP
2010
IEEE
15 years 6 months ago
Discriminative training methods for language models using conditional entropy criteria
This paper addresses the problem of discriminative training of language models that does not require any transcribed acoustic data. We propose to minimize the conditional entropy ...
Jui-Ting Huang, Xiao Li, Alex Acero
PRL
2007
158views more  PRL 2007»
15 years 6 months ago
Stability and convergence of the level set method in computer vision
Several computer vision problems, like segmentation, tracking and shape modeling, are increasingly being solved using level set methodologies. But the critical issues of stability...
Kunal N. Chaudhury, K. R. Ramakrishnan
IPCO
2004
107views Optimization» more  IPCO 2004»
15 years 8 months ago
A Robust Optimization Approach to Supply Chain Management
Abstract. We propose a general methodology based on robust optimization to address the problem of optimally controlling a supply chain subject to stochastic demand in discrete time...
Dimitris Bertsimas, Aurélie Thiele