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IPL
2008
172views more  IPL 2008»
13 years 7 months ago
Approximation algorithms for restricted Bayesian network structures
Bayesian Network structures with a maximum in-degree of k can be approximated with respect to a positive scoring metric up to an factor of 1/k. Key words: approximation algorithm,...
Valentin Ziegler
ISI
2004
Springer
14 years 29 days ago
Studying E-Mail Graphs for Intelligence Monitoring and Analysis in the Absence of Semantic Information
Abstract. This work describes a methodology that can be used to identify structure and communication patterns within an organization based on e-mail data. The first step of the me...
Petros Drineas, Mukkai S. Krishnamoorthy, Michael ...
ICML
2003
IEEE
14 years 8 months ago
Modified Logistic Regression: An Approximation to SVM and Its Applications in Large-Scale Text Categorization
Logistic Regression (LR) has been widely used in statistics for many years, and has received extensive study in machine learning community recently due to its close relations to S...
Jian Zhang, Rong Jin, Yiming Yang, Alexander G. Ha...
FOCM
2007
76views more  FOCM 2007»
13 years 7 months ago
Risk Bounds for Random Regression Graphs
We consider the regression problem and describe an algorithm approximating the regression function by estimators piecewise constant on the elements of an adaptive partition. The pa...
Andrea Caponnetto, Steve Smale
ICML
2007
IEEE
14 years 8 months ago
Learning state-action basis functions for hierarchical MDPs
This paper introduces a new approach to actionvalue function approximation by learning basis functions from a spectral decomposition of the state-action manifold. This paper exten...
Sarah Osentoski, Sridhar Mahadevan