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MP
2006
84views more  MP 2006»
13 years 8 months ago
Optimal 3-terminal cuts and linear programming
Given an undirected graph G = (V;E) and three speci ed terminal nodes t1;t2;t3, a 3-cut is a subset A of E such that no two terminals are in the same component of GnA. If a non-neg...
Kevin K. H. Cheung, William H. Cunningham, Lawrenc...
CORR
2010
Springer
152views Education» more  CORR 2010»
13 years 8 months ago
Neuroevolutionary optimization
Temporal difference methods are theoretically grounded and empirically effective methods for addressing reinforcement learning problems. In most real-world reinforcement learning ...
Eva Volná
KDD
2010
ACM
244views Data Mining» more  KDD 2010»
13 years 6 months ago
Finding effectors in social networks
Assume a network (V, E) where a subset of the nodes in V are active. We consider the problem of selecting a set of k active nodes that best explain the observed activation state, ...
Theodoros Lappas, Evimaria Terzi, Dimitrios Gunopu...
EOR
2007
104views more  EOR 2007»
13 years 8 months ago
A cutting-plane approach for the two-dimensional orthogonal non-guillotine cutting problem
The two-dimensional orthogonal non-guillotine cutting problem (NGCP) appears in many industries (like wood and steel industries) and consists in cutting a rectangular master surfa...
Roberto Baldacci, Marco A. Boschetti
CSL
2010
Springer
13 years 8 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...