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COLT
1999
Springer
15 years 10 months ago
Regret Bounds for Prediction Problems
We present a unified framework for reasoning about worst-case regret bounds for learning algorithms. This framework is based on the theory of duality of convex functions. It brin...
Geoffrey J. Gordon
ICML
2009
IEEE
16 years 7 months ago
Large-scale deep unsupervised learning using graphics processors
The promise of unsupervised learning methods lies in their potential to use vast amounts of unlabeled data to learn complex, highly nonlinear models with millions of free paramete...
Rajat Raina, Anand Madhavan, Andrew Y. Ng
DIS
2000
Springer
15 years 10 months ago
Combination Retrieval for Creating Knowledge from Sparse Document Collection
With the variety of human life, people are interested in various matters for each one’s unique reason, for which a machine maybe a better counselor than a human. This paper prop...
Naohiro Matsumura, Yukio Ohsawa
DLOG
2003
15 years 7 months ago
From Description Logic Provers to Knowledge Representation Systems
A description-logic based knowledge representation system is more than an inference engine for a particular description logic. A knowledge representation system must provide a num...
Deborah L. McGuinness, Peter F. Patel-Schneider
DATAMINE
2006
139views more  DATAMINE 2006»
15 years 6 months ago
Discovering Classification from Data of Multiple Sources
In many large e-commerce organizations, multiple data sources are often used to describe the same customers, thus it is important to consolidate data of multiple sources for intell...
Charles X. Ling, Qiang Yang