363 search results - page 22 / 73 » GraphLab: A New Framework for Parallel Machine Learning |
157
Voted
JMLR
2006
15 years 2 months ago
2006
We propose a family of learning algorithms based on a new form of regularization that allows us to exploit the geometry of the marginal distribution. We focus on a semi-supervised...
116
Voted
AAAI
2008
15 years 4 months ago
2008
We introduce the problem of zero-data learning, where a model must generalize to classes or tasks for which no training data are available and only a description of the classes or...
118
Voted
ICPR
2004
IEEE
16 years 3 months ago
2004
IEEE
The prediction of protein secondary structure is a classical problem in bioinformatics, and in the past few years several machine learning techniques have been proposed to t. From...
132
Voted
ICML
2005
IEEE
16 years 3 months ago
2005
IEEE
Gaussian Process Temporal Difference (GPTD) learning offers a Bayesian solution to the policy evaluation problem of reinforcement learning. In this paper we extend the GPTD framew...
127
Voted
IEEEICCI
2003
IEEE
15 years 7 months ago
2003
IEEE
Abstract— An ontology is a formal language adequately representing the knowledge used for reasoning in a specific environment. When contradictions arise and make ontologies inad...