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» Requirements for Machine Lifelong Learning
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107
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ML
2002
ACM
145views Machine Learning» more  ML 2002»
15 years 3 months ago
Boosting Methods for Regression
In this paper we examine ensemble methods for regression that leverage or "boost" base regressors by iteratively calling them on modified samples. The most successful lev...
Nigel Duffy, David P. Helmbold
131
Voted
ECTEL
2007
Springer
15 years 9 months ago
EXPLAIN: Integrated Content Development by Means of a Web-based Authoring Management Platform
The poster introduces EXPLAIN, a project funded by the German Federal Ministry of Economy and Technology. The vision of EXPLAIN is to reduce efforts for content projects by means o...
Pavlina Chikova, Katrina Leyking, Peter Loos, Gunn...
145
Voted
ICML
2008
IEEE
16 years 4 months ago
Gaussian process product models for nonparametric nonstationarity
Stationarity is often an unrealistic prior assumption for Gaussian process regression. One solution is to predefine an explicit nonstationary covariance function, but such covaria...
Ryan Prescott Adams, Oliver Stegle
97
Voted
ICALT
2007
IEEE
15 years 10 months ago
The role of evaluation in an effective development of didactic materials: The MD2 approach
Evaluation is one of the most important activities in the didactic materials development since it allows developers to check if the properties of obtained material satisfy all the...
Carmen Luisa Padrón, Paloma Díaz, Ig...
MLMI
2007
Springer
15 years 9 months ago
Microphone Array Beamforming Approach to Blind Speech Separation
In this paper, we present a microphone array beamforming approach to blind speech separation. Unlike previous beamforming approaches, our system does not require a-priori knowledge...
Ivan Himawan, Iain McCowan, Mike Lincoln