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» Feature Generation Using General Constructor Functions
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ML
2002
ACM
128views Machine Learning» more  ML 2002»
13 years 7 months ago
A Simple Method for Generating Additive Clustering Models with Limited Complexity
Additive clustering was originally developed within cognitive psychology to enable the development of featural models of human mental representation. The representational flexibili...
Michael D. Lee
ACL
2004
13 years 9 months ago
Balancing Clarity and Efficiency in Typed Feature Logic Through Delaying
The purpose of this paper is to re-examine the balance between clarity and efficiency in HPSG design, with particular reference to the design decisions made in the English Resourc...
Gerald Penn
DAC
2002
ACM
14 years 9 months ago
High-Level specification and automatic generation of IP interface monitors
A central problem in functional verification is to check that a circuit block is producing correct outputs while enforcing that the environment is providing legal inputs. To attac...
Marcio T. Oliveira, Alan J. Hu
KDD
2010
ACM
228views Data Mining» more  KDD 2010»
13 years 11 months ago
The new iris data: modular data generators
In this paper we introduce a modular, highly flexible, opensource environment for data generation. Using an existing graphical data flow tool, the user can combine various types...
Iris Adä, Michael R. Berthold
CVPR
2006
IEEE
14 years 10 months ago
Principled Hybrids of Generative and Discriminative Models
When labelled training data is plentiful, discriminative techniques are widely used since they give excellent generalization performance. However, for large-scale applications suc...
Julia A. Lasserre, Christopher M. Bishop, Thomas P...