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» The Inverse Classification Problem
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103
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TASLP
2008
98views more  TASLP 2008»
15 years 2 months ago
An Integrative and Discriminative Technique for Spoken Utterance Classification
Abstract-- Traditional methods of spoken utterance classification (SUC) adopt two independently trained phases. In the first phase, an automatic speech recognition (ASR) module ret...
Sibel Yaman, Li Deng, Dong Yu, Ye-Yi Wang, Alex Ac...
181
Voted
COMSIS
2011
14 years 6 months ago
Ontology-based multi-label classification of economic articles
The paper presents an approach to the task of automatic document categorization in the field of economics. Since the documents can be annotated with multiple keywords (labels), we ...
Sergeja Vogrincic, Zoran Bosnic
INFOCOM
2012
IEEE
13 years 5 months ago
Block permutations in Boolean Space to minimize TCAM for packet classification
Packet classification is one of the major challenges in designing high-speed routers and firewalls as it involves sophisticated multi-dimensional searching. Ternary Content Address...
Rihua Wei, Yang Xu, H. Jonathan Chao
IPMI
2003
Springer
16 years 3 months ago
Feature Selection for Shape-Based Classification of Biological Objects
Abstract. In this paper, feature selection methodology from the machine learning literature is applied to the problem of shape-based classification. This methodology discards stati...
Paul A. Yushkevich, Sarang C. Joshi, Stephen M. Pi...
119
Voted
KDD
2007
ACM
190views Data Mining» more  KDD 2007»
16 years 3 months ago
Model-shared subspace boosting for multi-label classification
Typical approaches to multi-label classification problem require learning an independent classifier for every label from all the examples and features. This can become a computati...
Rong Yan, Jelena Tesic, John R. Smith