363 search results - page 50 / 73 » GraphLab: A New Framework for Parallel Machine Learning |
ILP
2007
Springer
14 years 2 months ago
2007
Springer
Bias/variance analysis is a useful tool for investigating the performance of machine learning algorithms. Conventional analysis decomposes loss into errors due to aspects of the le...
ML
2006
ACM
13 years 8 months ago
2006
ACM
Bridge bidding is considered to be one of the most difficult problems for game-playing programs. It involves four agents rather than two, including a cooperative agent. In additio...
ICML
2010
IEEE
13 years 9 months ago
2010
IEEE
In this paper, we propose an Active Learning (AL) framework for the Multi-Task Adaptive Filtering (MTAF) problem. Specifically, we explore AL approaches to rapidly improve an MTAF...
JMLR
2010
13 years 7 months ago
2010
A wide variety of machine learning problems can be described as minimizing a regularized risk functional, with different algorithms using different notions of risk and differen...
CVPR
2008
IEEE
13 years 10 months ago
2008
IEEE
In this paper, we develop a geometric framework for linear or nonlinear discriminant subspace learning and classification. In our framework, the structures of classes are conceptu...