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ESWS
2008
Springer
15 years 5 months ago
Microsearch: An Interface for Semantic Search
In this paper we discuss the potential for semantic search and focus on the most immediate problem toward its realization: the problem of the sparsity and relatively low quality of...
Peter Mika
AAAI
2006
15 years 5 months ago
A Value Theory of Meta-Learning Algorithms
We use game theory to analyze meta-learning algorithms. The objective of meta-learning is to determine which algorithm to apply on a given task. This is an instance of a more gene...
Abraham Bagherjeiran
WG
2010
Springer
15 years 1 months ago
Efficient Algorithms for Eulerian Extension
Eulerian extension problems aim at making a given (directed) (multi-)graph Eulerian by adding a minimum-cost set of edges (arcs). These problems have natural applications in schedu...
Frederic Dorn, Hannes Moser, Rolf Niedermeier, Mat...
BMCBI
2010
104views more  BMCBI 2010»
15 years 4 months ago
A novel scoring function for discriminating hyperthermophilic and mesophilic proteins with application to predicting relative th
Background: The ability to design thermostable proteins is theoretically important and practically useful. Robust and accurate algorithms, however, remain elusive. One critical pr...
Yunqi Li, C. Russell Middaugh, Jianwen Fang
MFCS
2001
Springer
15 years 8 months ago
Playing Games with Algorithms: Algorithmic Combinatorial Game Theory
Combinatorial games lead to several interesting, clean problems in algorithms and complexity theory, many of which remain open. The purpose of this paper is to provide an overview...
Erik D. Demaine