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NIPS
2008
15 years 8 months ago
Analyzing human feature learning as nonparametric Bayesian inference
Almost all successful machine learning algorithms and cognitive models require powerful representations capturing the features that are relevant to a particular problem. We draw o...
Joseph Austerweil, Thomas L. Griffiths
NIPS
2008
15 years 8 months ago
Sparse probabilistic projections
We present a generative model for performing sparse probabilistic projections, which includes sparse principal component analysis and sparse canonical correlation analysis as spec...
Cédric Archambeau, Francis Bach
PDPTA
2008
15 years 8 months ago
Utilizing RSS Feeds by Web Request and Web Service Models in the .NET Compact Framework
- The rising popularity of Mobile Computing creates new methods for accessing Web content. At the same time Really Simple Syndication (RSS) feed is another new trend of constantly ...
Andrew Dutt, Sarah White, Zornitza Genova Prodanof...
SE
2008
15 years 8 months ago
Towards Evaluating Maintainability Within Model-Driven Environments
: Model Driven Software Development (MDSD) has matured over the last few years and is now becoming an established technology. One advantage that is promoted by the MDSD community i...
Thomas Goldschmidt, Jens Kübler
NAACL
2007
15 years 8 months ago
First-Order Probabilistic Models for Coreference Resolution
Traditional noun phrase coreference resolution systems represent features only of pairs of noun phrases. In this paper, we propose a machine learning method that enables features ...
Aron Culotta, Michael L. Wick, Andrew McCallum