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» Learning parallel portfolios of algorithms
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IFIP
2004
Springer
15 years 2 months ago
The Inherent Queuing Delay of Parallel Packet Switches
The parallel packet switch (PPS) extends the inverse multiplexing architecture, and is extensively used as the core of contemporary commercial switches. A key factor in the perfor...
Hagit Attiya, David Hay
ICML
2009
IEEE
15 years 10 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
102
Voted
WWW
2011
ACM
14 years 4 months ago
Parallel boosted regression trees for web search ranking
Gradient Boosted Regression Trees (GBRT) are the current state-of-the-art learning paradigm for machine learned websearch ranking — a domain notorious for very large data sets. ...
Stephen Tyree, Kilian Q. Weinberger, Kunal Agrawal...
CEC
2005
IEEE
14 years 11 months ago
On the use of rule-sharing in learning classifier system ensembles
This paper presents an investigation into exploiting the population-based nature of Learning Classifier Systems for their use within highly-parallel systems. In particular, the use...
Larry Bull, Matthew Studley, Anthony J. Bagnall, I...
75
Voted
PKDD
2010
Springer
164views Data Mining» more  PKDD 2010»
14 years 7 months ago
Complexity Bounds for Batch Active Learning in Classification
Active learning [1] is a branch of Machine Learning in which the learning algorithm, instead of being directly provided with pairs of problem instances and their solutions (their l...
Philippe Rolet, Olivier Teytaud