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ACL
2012
13 years 7 months ago
Improving Word Representations via Global Context and Multiple Word Prototypes
Unsupervised word representations are very useful in NLP tasks both as inputs to learning algorithms and as extra word features in NLP systems. However, most of these models are b...
Eric H. Huang, Richard Socher, Christopher D. Mann...
NN
2006
Springer
114views Neural Networks» more  NN 2006»
15 years 4 months ago
Modular learning models in forecasting natural phenomena
Modular model is a particular type of committee machine and is comprised of a set of specialized (local) models each of which is responsible for a particular region of the input s...
Dimitri P. Solomatine, Michael Baskara L. A. Siek
118
Voted
NIPS
2001
15 years 6 months ago
(Not) Bounding the True Error
We present a new approach to bounding the true error rate of a continuous valued classifier based upon PAC-Bayes bounds. The method first constructs a distribution over classifier...
John Langford, Rich Caruana
ATAL
2009
Springer
15 years 6 months ago
Conditional Dependence Networks in Requirements Engineering
In this paper we present a new model for the requirements analysis of a system. We offer a conceptual model defined following a visual modeling language, called dependence networks...
Guido Boella, Leendert van der Torre, Serena Villa...
CODASPY
2011
14 years 8 months ago
Relationship-based access control: protection model and policy language
Social Network Systems pioneer a paradigm of access control that is distinct from traditional approaches to access control. Gates coined the term Relationship-Based Access Control...
Philip W. L. Fong