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» Feature Selection for Complex Patterns
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DCC
2006
IEEE
15 years 11 months ago
Compression and Machine Learning: A New Perspective on Feature Space Vectors
The use of compression algorithms in machine learning tasks such as clustering and classification has appeared in a variety of fields, sometimes with the promise of reducing probl...
D. Sculley, Carla E. Brodley
INTERSPEECH
2010
14 years 6 months ago
Dynamic model selection for spectral voice conversion
Statistical methods for voice conversion are usually based on a single model selected in order to represent a tradeoff between goodness of fit and complexity. In this paper we ass...
Pierre Lanchantin, Xavier Rodet
ACL
1998
15 years 1 months ago
Feature Lattices for Maximum Entropy Modelling
Maximum entropy framework proved to be expressive and powerful for the statistical language modelling, but it suffers from the computational expensiveness of the model building. T...
Andrei Mikheev
ICDE
2008
IEEE
120views Database» more  ICDE 2008»
16 years 1 months ago
Direct Discriminative Pattern Mining for Effective Classification
The application of frequent patterns in classification has demonstrated its power in recent studies. It often adopts a two-step approach: frequent pattern (or classification rule) ...
Hong Cheng, Xifeng Yan, Jiawei Han, Philip S. Yu
ESAW
2009
Springer
15 years 6 months ago
A Space-Based Generic Pattern for Self-Initiative Load Balancing Agents
Abstract. Load-Balancing is a significant problem in heterogeneous distributed systems. There exist many load balancing algorithms, however, most approaches are very problem speci...
eva Kühn, Vesna Sesum-Cavic