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ICML
1996
IEEE
15 years 1 months ago
Discovering Structure in Multiple Learning Tasks: The TC Algorithm
Recently, there has been an increased interest in "lifelong" machine learning methods, that transfer knowledge across multiple learning tasks. Such methods have repeated...
Sebastian Thrun, Joseph O'Sullivan
ALT
2010
Springer
14 years 11 months ago
Online Multiple Kernel Learning: Algorithms and Mistake Bounds
Online learning and kernel learning are two active research topics in machine learning. Although each of them has been studied extensively, there is a limited effort in addressing ...
Rong Jin, Steven C. H. Hoi, Tianbao Yang
TASLP
2008
148views more  TASLP 2008»
14 years 9 months ago
A Minimum Distortion Noise Reduction Algorithm With Multiple Microphones
Abstract--The problem of noise reduction using multiple microphones has long been an active area of research. Over the past few decades, most efforts have been devoted to beamformi...
Jingdong Chen, Jacob Benesty, Yiteng Huang
JMM2
2006
146views more  JMM2 2006»
14 years 9 months ago
Probabilistic Algorithms, Integration, and Empirical Evaluation for Disambiguating Multiple Selections in Frustum-Based Pointing
There are a few fundamental pointing-based user interface techniques for performing selections in 3D environments. One of these techniques is ray pointing, which makes selections b...
Greg S. Schmidt, Dennis G. Brown, Erik B. Tomlin, ...
CEC
2008
IEEE
15 years 4 months ago
Path optimization for multiple objectives in directed graphs using genetic algorithms
Abstract— This paper presents a genetic algorithmic approach for finding efficient paths in directed graphs when optimizing multiple objectives. Its aim is to provide solutions...
Juan Rada, Ruben Parma, Wilmer Pereira