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» Phase Transitions in Relational Learning
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ICANN
2009
Springer
13 years 11 months ago
Computing with Probabilistic Cellular Automata
Abstract. We investigate the computational capabilities of probabilistic cellular automata by means of the density classification problem. We find that a specific probabilistic ...
Martin Schüle, Thomas Ott, Ruedi Stoop
CP
2006
Springer
13 years 10 months ago
Towards an Efficient SAT Encoding for Temporal Reasoning
Abstract. In this paper, we investigate how an IA network can be effectively encoded into the SAT domain. We propose two basic approaches to modelling an IA network as a CSP: one r...
Duc Nghia Pham, John Thornton, Abdul Sattar
LACL
2001
Springer
13 years 11 months ago
Structural Equations in Language Learning
In categorial systems with a fixed structural component, the learning problem comes down to finding the solution for a set of typeassignment equations. A hard-wired structural co...
Michael Moortgat
PKDD
2009
Springer
103views Data Mining» more  PKDD 2009»
14 years 1 months ago
Kernels for Periodic Time Series Arising in Astronomy
Abstract. We present a method for applying machine learning algorithms to the automatic classification of astronomy star surveys using time series of star brightness. Currently su...
Gabriel Wachman, Roni Khardon, Pavlos Protopapas, ...
ICDM
2006
IEEE
145views Data Mining» more  ICDM 2006»
14 years 23 days ago
Stability Region Based Expectation Maximization for Model-based Clustering
In spite of the initialization problem, the ExpectationMaximization (EM) algorithm is widely used for estimating the parameters in several data mining related tasks. Most popular ...
Chandan K. Reddy, Hsiao-Dong Chiang, Bala Rajaratn...