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JMLR
2010
107views more  JMLR 2010»
14 years 8 months ago
Learning Instance-Specific Predictive Models
This paper introduces a Bayesian algorithm for constructing predictive models from data that are optimized to predict a target variable well for a particular instance. This algori...
Shyam Visweswaran, Gregory F. Cooper
ML
2010
ACM
151views Machine Learning» more  ML 2010»
15 years 4 days ago
Inductive transfer for learning Bayesian networks
In several domains it is common to have data from different, but closely related problems. For instance, in manufacturing, many products follow the same industrial process but with...
Roger Luis, Luis Enrique Sucar, Eduardo F. Morales
ISCI
2008
83views more  ISCI 2008»
15 years 1 months ago
A diversity maintaining population-based incremental learning algorithm
In this paper we propose a new probability update rule and sampling procedure for population-based incremental learning. These proposed methods are based on the concept of opposit...
Mario Ventresca, Hamid R. Tizhoosh
WSC
2001
15 years 3 months ago
Simulation of check-in at airports
The purpose of this paper is to describe (a) why simulation is necessary to evaluate check-in, (b) a simulation toolbox for check-in counters and (c) Two case studies for Amsterda...
Paul E. Joustra, Nico M. van Dijk
115
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INTERSPEECH
2010
14 years 8 months ago
Exploring speaker characteristics for meeting summarization
In this paper, we investigate using meeting-specific characteristics to improve extractive meeting summarization, in particular, speaker-related attributes (such as verboseness, g...
Fei Liu, Yang Liu