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NN
2006
Springer
114views Neural Networks» more  NN 2006»
15 years 2 months ago
Modular learning models in forecasting natural phenomena
Modular model is a particular type of committee machine and is comprised of a set of specialized (local) models each of which is responsible for a particular region of the input s...
Dimitri P. Solomatine, Michael Baskara L. A. Siek
108
Voted
ICDE
2005
IEEE
106views Database» more  ICDE 2005»
15 years 8 months ago
On Small World Graphs in Non-uniformly Distributed Key Spaces
In this paper we show that the topologies of most logarithmic-style P2P systems like Pastry, Tapestry or P-Grid resemble small-world graphs. Inspired by Kleinberg’s small-world ...
Sarunas Girdzijauskas, Anwitaman Datta, Karl Abere...
GECCO
2010
Springer
200views Optimization» more  GECCO 2010»
15 years 7 months ago
Multivariate multi-model approach for globally multimodal problems
This paper proposes an estimation of distribution algorithm (EDA) aiming at addressing globally multimodal problems, i.e., problems that present several global optima. It can be r...
Chung-Yao Chuang, Wen-Lian Hsu
IDA
2010
Springer
15 years 4 months ago
Oracle Coached Decision Trees and Lists
This paper introduces a novel method for obtaining increased predictive performance from transparent models in situations where production input vectors are available when building...
Ulf Johansson, Cecilia Sönströd, Tuve L&...
139
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UMUAI
2010
107views more  UMUAI 2010»
15 years 1 months ago
PERSONAF: framework for personalised ontological reasoning in pervasive computing
Abstract. Pervasive computing creates possibilities for presenting highly personalised information about the people, places and things in a building. One of the challenges for such...
William T. Niu, Judy Kay