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JMLR
2012
11 years 7 months ago
Conditional Likelihood Maximisation: A Unifying Framework for Information Theoretic Feature Selection
We present a unifying framework for information theoretic feature selection, bringing almost two decades of research on heuristic filter criteria under a single theoretical inter...
Gavin Brown, Adam Pocock, Ming-Jie Zhao, Mikel Luj...
CSR
2009
Springer
13 years 8 months ago
Characterizing the Existence of Optimal Proof Systems and Complete Sets for Promise Classes
In this paper we investigate the following two questions: Q1: Do there exist optimal proof systems for a given language L? Q2: Do there exist complete problems for a given promise ...
Olaf Beyersdorff, Zenon Sadowski
MP
2006
75views more  MP 2006»
13 years 5 months ago
A Class of stochastic programs with decision dependent uncertainty
We address a class of problems where decisions have to be optimized over a time horizon given that the future is uncertain and that the optimization decisions influence the time o...
Vikas Goel, Ignacio E. Grossmann
TCS
2010
13 years 3 months ago
Randomized priority algorithms
Borodin, Nielsen and Rackoff [13] introduced the class of priority algorithms as a framework for modeling deterministic greedy-like algorithms. In this paper we address the effe...
Spyros Angelopoulos, Allan Borodin