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JMLR
2012
11 years 10 months ago
Structured Output Learning with High Order Loss Functions
Often when modeling structured domains, it is desirable to leverage information that is not naturally expressed as simply a label. Examples include knowledge about the evaluation ...
Daniel Tarlow, Richard S. Zemel
STOC
2006
ACM
131views Algorithms» more  STOC 2006»
14 years 8 months ago
On maximizing welfare when utility functions are subadditive
We consider the problem of maximizing welfare when allocating m items to n players with subadditive utility functions. Our main result is a way of rounding any fractional solution...
Uriel Feige
ACG
2009
Springer
14 years 2 months ago
Evaluation Function Based Monte-Carlo LOA
Recently, Monte-Carlo Tree Search (MCTS) has advanced the field of computer Go substantially. In the game of Lines of Action (LOA), which has been dominated in the past by αβ, M...
Mark H. M. Winands, Yngvi Björnsson
PEPM
2007
ACM
14 years 1 months ago
Lowering: a static optimization technique for transparent functional reactivity
Functional Reactive Programming (frp) extends traditional functional programming with dataflow evaluation, making it possible to write interactive programs in a declarative style...
Kimberley Burchett, Gregory H. Cooper, Shriram Kri...
GECCO
2003
Springer
127views Optimization» more  GECCO 2003»
14 years 27 days ago
Complex Function Sets Improve Symbolic Discriminant Analysis of Microarray Data
Abstract. Our ability to simultaneously measure the expression levels of thousands of genes in biological samples is providing important new opportunities for improving the diagnos...
David M. Reif, Bill C. White, Nancy Olsen, Thomas ...