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JMLR
2012
13 years 6 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...
APPROX
2008
Springer
107views Algorithms» more  APPROX 2008»
15 years 6 months ago
A General Framework for Designing Approximation Schemes for Combinatorial Optimization Problems with Many Objectives Combined in
Abstract. In this paper, we propose a general framework for designing fully polynomial time approximation schemes for combinatorial optimization problems, in which more than one ob...
Shashi Mittal, Andreas S. Schulz
JGO
2008
111views more  JGO 2008»
15 years 4 months ago
A geometric framework for nonconvex optimization duality using augmented lagrangian functions
We provide a unifying geometric framework for the analysis of general classes of duality schemes and penalty methods for nonconvex constrained optimization problems. We present a ...
Angelia Nedic, Asuman E. Ozdaglar
152
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JSAC
2006
149views more  JSAC 2006»
15 years 4 months ago
A Cross-Layer Optimization Framework for Multihop Multicast in Wireless Mesh Networks
The optimal and distributed provisioning of high throughput in mesh networks is known as a fundamental but hard problem. The situation is exacerbated in a wireless setting due to t...
Jun Yuan, Zongpeng Li, Wei Yu, Baochun Li
CEC
2010
IEEE
15 years 5 months ago
A parallel framework for multi-objective evolutionary optimization
This work focuses on the development of a parallel framework method to improve the effectiveness and the efficiency of the obtained solutions by Multi-objective Evolutionary Algori...
Dipankar Dasgupta, David Camilo Becerra Romero, Al...