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» Learning Generative Models via Discriminative Approaches
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AAAI
2000
13 years 10 months ago
Restricted Bayes Optimal Classifiers
We introduce the notion of restricted Bayes optimal classifiers. These classifiers attempt to combine the flexibility of the generative approach to classification with the high ac...
Simon Tong, Daphne Koller
DAC
2005
ACM
14 years 9 months ago
StressTest: an automatic approach to test generation via activity monitors
The challenge of verifying a modern microprocessor design is an overwhelming one: Increasingly complex micro-architectures combined with heavy time-to-market pressure have forced ...
Ilya Wagner, Valeria Bertacco, Todd M. Austin
KDD
2006
ACM
113views Data Mining» more  KDD 2006»
14 years 9 months ago
A new multi-view regression approach with an application to customer wallet estimation
Motivated by the problem of customer wallet estimation, we propose a new setting for multi-view regression, where we learn a completely unobserved target (in our case, customer wa...
Srujana Merugu, Saharon Rosset, Claudia Perlich
AR
2007
204views more  AR 2007»
13 years 9 months ago
Action recognition and understanding through motor primitives
In robotics, recognition of human activity has been used extensively for robot task learning through imitation and demonstration. However, there has not been much work on modeling...
Isabel Serrano Vicente, Ville Kyrki, Danica Kragic...
NIPS
2008
13 years 10 months ago
DiscLDA: Discriminative Learning for Dimensionality Reduction and Classification
Probabilistic topic models have become popular as methods for dimensionality reduction in collections of text documents or images. These models are usually treated as generative m...
Simon Lacoste-Julien, Fei Sha, Michael I. Jordan