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JMLR
2012
11 years 10 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...
DA
2010
141views more  DA 2010»
13 years 7 months ago
Optimal Static Hedging of Volumetric Risk in a Competitive Wholesale Electricity Market
In competitive wholesale electricity markets, regulated load serving entities (LSEs) and marketers with default service contracts have obligations to serve fluctuating load at pre...
Yumi Oum, Shmuel S. Oren
BNCOD
2003
127views Database» more  BNCOD 2003»
13 years 9 months ago
Performance Evaluation and Analysis of K-Way Join Variants for Association Rule Mining
Data mining aims at discovering important and previously unknown patterns from the dataset in the underlying database. Database mining performs mining directly on data stored in r...
P. Mishra, Sharma Chakravarthy
COLT
2005
Springer
14 years 1 months ago
General Polynomial Time Decomposition Algorithms
We present a general decomposition algorithm that is uniformly applicable to every (suitably normalized) instance of Convex Quadratic Optimization and efficiently approaches an o...
Nikolas List, Hans-Ulrich Simon
GAMESEC
2010
13 years 5 months ago
ISPs and Ad Networks Against Botnet Ad Fraud
Botnets are a serious threat on the Internet and require huge resources to be thwarted. ISPs are in the best position to fight botnets and there are a number of recently proposed i...
Nevena Vratonjic, Mohammad Hossein Manshaei, Maxim...