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ICML
2005
IEEE
16 years 7 months ago
Online learning over graphs
We apply classic online learning techniques similar to the perceptron algorithm to the problem of learning a function defined on a graph. The benefit of our approach includes simp...
Mark Herbster, Massimiliano Pontil, Lisa Wainer
RTSS
1996
IEEE
15 years 11 months ago
Reducing the number of clock variables of timed automata
We propose a method for reducing the number of clocks of a timed automaton by combining two algorithms. The first one consists in detecting active clocks, that is, those clocks wh...
Conrado Daws, Sergio Yovine
VLDB
1991
ACM
165views Database» more  VLDB 1991»
15 years 10 months ago
Aggregation and Relevance in Deductive Databases
In this paper we present a technique to optimize queries on deductive databases that use aggregate operations such as min, max, and “largest Ic values.” Our approach is based ...
S. Sudarshan, Raghu Ramakrishnan
CEC
2008
IEEE
16 years 1 months ago
Hyper-selection in dynamic environments
— In recent years, several approaches have been developed for genetic algorithms to enhance their performance in dynamic environments. Among these approaches, one kind of methods...
Shengxiang Yang, Renato Tinós
EVOW
2009
Springer
15 years 4 months ago
Conquering the Needle-in-a-Haystack: How Correlated Input Variables Beneficially Alter the Fitness Landscape for Neural Networks
Abstract. Evolutionary algorithms such as genetic programming and grammatical evolution have been used for simultaneously optimizing network architecture, variable selection, and w...
Stephen D. Turner, Marylyn D. Ritchie, William S. ...