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» An improvement on learning with local and global consistency
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AAAI
1998
15 years 3 months ago
Learning Evaluation Functions for Global Optimization and Boolean Satisfiability
This paper describes STAGE, a learning approach to automatically improving search performance on optimization problems.STAGElearns an evaluation function which predicts the outcom...
Justin A. Boyan, Andrew W. Moore
ICCS
2009
Springer
14 years 11 months ago
Bending Virtual Spring-Damper: A Solution to Improve Local Platoon Control
This article presents a local control approach to linear vehicle platooning. Linear platoon systems are sets of vehicles that use local or global perception capabilities to form a ...
Jean-Michel Contet, Franck Gechter, Pablo Gruer, A...
CSL
2010
Springer
15 years 1 months ago
Active learning and semi-supervised learning for speech recognition: A unified framework using the global entropy reduction maxi
We propose a unified global entropy reduction maximization (GERM) framework for active learning and semi-supervised learning for speech recognition. Active learning aims to select...
Dong Yu, Balakrishnan Varadarajan, Li Deng, Alex A...
BMCBI
2005
125views more  BMCBI 2005»
15 years 1 months ago
DIALIGN-T: An improved algorithm for segment-based multiple sequence alignment
Background: We present a complete re-implementation of the segment-based approach to multiple protein alignment that contains a number of improvements compared to the previous ver...
Amarendran R. Subramanian, Jan Weyer-Menkhoff, Mic...
ECAI
2004
Springer
15 years 7 months ago
Improving Asynchronous Backtracking for Dealing with Complex Local Problems
Distributed constraint satisfaction, in its most general acceptation, involves a collection of agents solving local constraint satisfaction subproblems, and a communication protoco...
Arnold Maestre, Christian Bessière