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GECCO
2006
Springer
140views Optimization» more  GECCO 2006»
15 years 10 months ago
A representational ecology for learning classifier systems
The representation used by a learning algorithm introduces a bias which is more or less well-suited to any given learning problem. It is well known that, across all possible probl...
James A. R. Marshall, Tim Kovacs
SDM
2008
SIAM
138views Data Mining» more  SDM 2008»
15 years 8 months ago
Learning Markov Network Structure using Few Independence Tests
In this paper we present the Dynamic Grow-Shrink Inference-based Markov network learning algorithm (abbreviated DGSIMN), which improves on GSIMN, the state-ofthe-art algorithm for...
Parichey Gandhi, Facundo Bromberg, Dimitris Margar...
OPODIS
2003
15 years 8 months ago
Detecting Temporal Logic Predicates in Distributed Programs Using Computation Slicing
Detecting whether a finite execution trace (or a computation) of a distributed program satisfies a given predicate, called predicate detection, is a fundamental problem in distr...
Alper Sen, Vijay K. Garg
SODA
2003
ACM
119views Algorithms» more  SODA 2003»
15 years 8 months ago
Simultaneous optimization for concave costs: single sink aggregation or single source buy-at-bulk
We consider the problem of finding efficient trees to send information from k sources to a single sink in a network where information can be aggregated at intermediate nodes in t...
Ashish Goel, Deborah Estrin
GECCO
2008
Springer
206views Optimization» more  GECCO 2008»
15 years 7 months ago
Improving accuracy of immune-inspired malware detectors by using intelligent features
In this paper, we show that a Bio-inspired classifier’s accuracy can be dramatically improved if it operates on intelligent features. We propose a novel set of intelligent feat...
M. Zubair Shafiq, Syed Ali Khayam, Muddassar Faroo...