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PKDD
2000
Springer
100views Data Mining» more  PKDD 2000»
15 years 1 months ago
Learning Right Sized Belief Networks by Means of a Hybrid Methodology
Previous algoritms for the construction of belief networks structures from data are mainly based either on independence criteria or on scoring metrics. The aim of this paper is to ...
Silvia Acid, Luis M. de Campos
ESWS
2010
Springer
15 years 2 months ago
Semantics, Sensors, and the Social Web: The Live Social Semantics Experiments
Abstract. The Live Social Semantics is an innovative application that encourages and guides social networking between researchers at conferences and similar events. The application...
Martin Szomszor, Ciro Cattuto, Wouter Van den Broe...
UAI
2003
14 years 11 months ago
Large-Sample Learning of Bayesian Networks is NP-Hard
In this paper, we provide new complexity results for algorithms that learn discrete-variable Bayesian networks from data. Our results apply whenever the learning algorithm uses a ...
David Maxwell Chickering, Christopher Meek, David ...
BMCBI
2008
149views more  BMCBI 2008»
14 years 10 months ago
All-paths graph kernel for protein-protein interaction extraction with evaluation of cross-corpus learning
Background: Automated extraction of protein-protein interactions (PPI) is an important and widely studied task in biomedical text mining. We propose a graph kernel based approach ...
Antti Airola, Sampo Pyysalo, Jari Björne, Tap...
ECBS
2006
IEEE
122views Hardware» more  ECBS 2006»
15 years 3 months ago
Customer-oriented Development of Complex Distributed Systems
Complex and distributed systems are more and more common. Hardware is going from strength to strength and is embedded in high performance peer-to-peer networks mostly. The task of...
Ivonne Erfurth