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» Machine learning problems from optimization perspective
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125
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KDD
2000
ACM
211views Data Mining» more  KDD 2000»
15 years 6 months ago
Mining IC test data to optimize VLSI testing
We describe an application of data mining and decision analysis to the problem of die-level functional test in integrated circuit manufacturing. Integrated circuits are fabricated...
Tony Fountain, Thomas G. Dietterich, Bill Sudyka
142
Voted
WWW
2009
ACM
16 years 3 months ago
Enhancing diversity, coverage and balance for summarization through structure learning
Document summarization plays an increasingly important role with the exponential growth of documents on the Web. Many supervised and unsupervised approaches have been proposed to ...
Liangda Li, Ke Zhou, Gui-Rong Xue, Hongyuan Zha, Y...
124
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GECCO
2006
Springer
175views Optimization» more  GECCO 2006»
15 years 6 months ago
A computational theory of adaptive behavior based on an evolutionary reinforcement mechanism
Two mathematical and two computational theories from the field of human and animal learning are combined to produce a more general theory of adaptive behavior. The cornerstone of ...
J. J. McDowell, Paul L. Soto, Jesse Dallery, Saule...
132
Voted
AMEC
2004
Springer
15 years 8 months ago
Bidding for Customer Orders in TAC SCM
Abstract. Supply chains are a current, challenging problem for agentbased electronic commerce. Motivated by the Trading Agent Competition Supply Chain Management (TAC SCM) scenario...
David Pardoe, Peter Stone
CORR
2010
Springer
70views Education» more  CORR 2010»
15 years 2 months ago
Structured sparsity-inducing norms through submodular functions
Sparse methods for supervised learning aim at finding good linear predictors from as few variables as possible, i.e., with small cardinality of their supports. This combinatorial ...
Francis Bach