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109
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ICML
2007
IEEE
16 years 1 months ago
An empirical evaluation of deep architectures on problems with many factors of variation
Recently, several learning algorithms relying on models with deep architectures have been proposed. Though they have demonstrated impressive performance, to date, they have only b...
Hugo Larochelle, Dumitru Erhan, Aaron C. Courville...
ANLP
1997
103views more  ANLP 1997»
15 years 2 months ago
The NLP Role in Animated Conversation for CALL
Language learning is a relatively new application for natural language processing (NLP) and for intelligent tutoring and learning environments (ITLEs). NLP has a crucial role to p...
Michael Schoelles, Henry Hamburger
104
Voted
ER
2003
Springer
148views Database» more  ER 2003»
15 years 6 months ago
Improving Query Performance Using Materialized XML Views: A Learning-Based Approach
We consider the problem of improving the efficiency of query processing on an XML interface of a relational database, for predefined query workloads. The main contribution of this ...
Ashish Shah, Rada Chirkova
ACL
2008
15 years 2 months ago
Large Scale Acquisition of Paraphrases for Learning Surface Patterns
Paraphrases have proved to be useful in many applications, including Machine Translation, Question Answering, Summarization, and Information Retrieval. Paraphrase acquisition meth...
Rahul Bhagat, Deepak Ravichandran
JMLR
2006
113views more  JMLR 2006»
15 years 23 days ago
Learning the Structure of Linear Latent Variable Models
We describe anytime search procedures that (1) find disjoint subsets of recorded variables for which the members of each subset are d-separated by a single common unrecorded cause...
Ricardo Silva, Richard Scheines, Clark Glymour, Pe...