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» Learning and Inference with Constraints
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CEC
2007
IEEE
14 years 4 months ago
Bayesian inference in estimation of distribution algorithms
— Metaheuristics such as Estimation of Distribution Algorithms and the Cross-Entropy method use probabilistic modelling and inference to generate candidate solutions in optimizat...
Marcus Gallagher, Ian Wood, Jonathan M. Keith, Geo...
AUSAI
2004
Springer
14 years 3 months ago
MML Inference of Oblique Decision Trees
We propose a multivariate decision tree inference scheme by using the minimum message length (MML) principle (Wallace and Boulton, 1968; Wallace and Dowe, 1999). The scheme uses MM...
Peter J. Tan, David L. Dowe
ICPR
2010
IEEE
13 years 8 months ago
Semi-supervised Graph Learning: Near Strangers or Distant Relatives
In this paper, an easily implemented semi-supervised graph learning method is presented for dimensionality reduction and clustering, using the most of prior knowledge from limited...
Weifu Chen, Guocan Feng
JAIR
2006
137views more  JAIR 2006»
13 years 10 months ago
Learning Sentence-internal Temporal Relations
In this paper we propose a data intensive approach for inferring sentence-internal temporal relations. Temporal inference is relevant for practical NLP applications which either e...
Maria Lapata, Alex Lascarides
IJCAI
2007
13 years 11 months ago
Inferring Long-term User Properties Based on Users' Location History
Recent development of location technologies enables us to obtain the location history of users. This paper proposes a new method to infer users’ longterm properties from their r...
Yutaka Matsuo, Naoaki Okazaki, Kiyoshi Izumi, Yosh...