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» Strong Separation of Learning Classes
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OOPSLA
2000
Springer
15 years 1 months ago
Application isolation in the JavaTM Virtual Machine
To date, systems offering multitasking for the JavaTM programming language either use one process or one class loader for each application. Both approaches are unsatisfactory. Usi...
Grzegorz Czajkowski
PAMI
2002
112views more  PAMI 2002»
14 years 9 months ago
Recognizing Handwritten Digits Using Hierarchical Products of Experts
The product of experts learning procedure [1] can discover a set of stochastic binary features that constitute a nonlinear generative model of handwritten images of digits. The qua...
Guy Mayraz, Geoffrey E. Hinton
86
Voted
NAACL
2010
14 years 7 months ago
Discriminative Learning over Constrained Latent Representations
This paper proposes a general learning framework for a class of problems that require learning over latent intermediate representations. Many natural language processing (NLP) dec...
Ming-Wei Chang, Dan Goldwasser, Dan Roth, Vivek Sr...
NAACL
2010
14 years 7 months ago
Improving Semantic Role Classification with Selectional Preferences
This work incorporates Selectional Preferences (SP) into a Semantic Role (SR) Classification system. We learn separate selectional preferences for noun phrases and prepositional p...
Beñat Zapirain, Eneko Agirre, Lluís ...
96
Voted
ICCV
2007
IEEE
15 years 11 months ago
Semi-supervised Discriminant Analysis
Linear Discriminant Analysis (LDA) has been a popular method for extracting features which preserve class separability. The projection vectors are commonly obtained by maximizing ...
Deng Cai, Xiaofei He, Jiawei Han