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» Selectivity Estimation using Probabilistic Models
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GECCO
2007
Springer
155views Optimization» more  GECCO 2007»
15 years 6 months ago
Solving the MAXSAT problem using a multivariate EDA based on Markov networks
Markov Networks (also known as Markov Random Fields) have been proposed as a new approach to probabilistic modelling in Estimation of Distribution Algorithms (EDAs). An EDA employ...
Alexander E. I. Brownlee, John A. W. McCall, Deryc...
CN
2006
99views more  CN 2006»
14 years 11 months ago
P2P reputation management: Probabilistic estimation vs. social networks
Managing trust is a key issue for a wide acceptance of P2P computing, particularly in critical areas such as e-commerce. Reputation-based trust management has been identified in t...
Zoran Despotovic, Karl Aberer
ESANN
2006
15 years 1 months ago
Lag selection for regression models using high-dimensional mutual information
Mutual information may be used to select the embedding lag of a time series. However, this lag selection is usually limited to the analysis of the mutual information between a pair...
Geoffroy Simon, Michel Verleysen
BMCBI
2008
149views more  BMCBI 2008»
14 years 12 months ago
Accelerating the annotation of sparse named entities by dynamic sentence selection
This paper presents an active learning-like framework for reducing the human effort for making named entity annotations in a corpus. In this framework, the annotation work is perf...
Yoshimasa Tsuruoka, Jun-ichi Tsujii, Sophia Anania...
IROS
2006
IEEE
121views Robotics» more  IROS 2006»
15 years 5 months ago
Planning and Acting in Uncertain Environments using Probabilistic Inference
— An important problem in robotics is planning and selecting actions for goal-directed behavior in noisy uncertain environments. The problem is typically addressed within the fra...
Deepak Verma, Rajesh P. N. Rao