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PAMI
2006
147views more  PAMI 2006»
13 years 7 months ago
Bayesian Gaussian Process Classification with the EM-EP Algorithm
Gaussian process classifiers (GPCs) are Bayesian probabilistic kernel classifiers. In GPCs, the probability of belonging to a certain class at an input location is monotonically re...
Hyun-Chul Kim, Zoubin Ghahramani
JDWM
2007
122views more  JDWM 2007»
13 years 7 months ago
A Hyper-Heuristic for Descriptive Rule Induction
Rule induction from examples is a machine learning technique that finds rules of the form condition → class, where condition and class are logic expressions of the form variable...
Tho Hoan Pham, Tu Bao Ho
JKM
2007
89views more  JKM 2007»
13 years 7 months ago
Knowledge leadership cycles: an approach from Nonaka's viewpoint
Purpose – The aim of this paper is to analyse leadership cycles based on knowledge creation, with learning and culture as key elements for reaching leadership. Following Ikujiro...
Maria Sarabia
JAIR
1998
195views more  JAIR 1998»
13 years 7 months ago
AntNet: Distributed Stigmergetic Control for Communications Networks
This paper introduces AntNet, a novel approach to the adaptive learning of routing tables in communications networks. AntNet is a distributed, mobile agents based Monte Carlo syst...
Gianni Di Caro, Marco Dorigo
CIKM
2010
Springer
13 years 6 months ago
Selectively diversifying web search results
Search result diversification is a natural approach for tackling ambiguous queries. Nevertheless, not all queries are equally ambiguous, and hence different queries could bene...
Rodrygo L. T. Santos, Craig Macdonald, Iadh Ounis