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» Obtaining Best Parameter Values for Accurate Classification
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NIPS
2004
13 years 9 months ago
Incremental Algorithms for Hierarchical Classification
We study the problem of hierarchical classification when labels corresponding to partial and/or multiple paths in the underlying taxonomy are allowed. We introduce a new hierarchi...
Nicolò Cesa-Bianchi, Claudio Gentile, Andre...
CLEF
2009
Springer
13 years 8 months ago
Prior Art Search Using International Patent Classification Codes and All-Claims-Queries
In this study, we describe our system at the Intellectual Property track of the 2009 CrossLanguage Evaluation Forum campaign (CLEF-IP). The CLEF-IP track addressed prior art searc...
Benjamin Herbert, György Szarvas, Iryna Gurev...
ICPADS
2002
IEEE
14 years 20 days ago
The Impact of RTS Threshold on IEEE 802.11 MAC Protocol
Wireless technologies and applications received great attention in recent years. The medium access control (MAC) protocol is the main element that determines the efficiency in sha...
Shiann-Tsong Sheu, Tobias Chen, Jenhui Chen, Fun Y...
CVPR
2001
IEEE
14 years 9 months ago
Bayesian Learning of Sparse Classifiers
Bayesian approaches to supervised learning use priors on the classifier parameters. However, few priors aim at achieving "sparse" classifiers, where irrelevant/redundant...
Anil K. Jain, Mário A. T. Figueiredo
NIPS
2007
13 years 9 months ago
Active Preference Learning with Discrete Choice Data
We propose an active learning algorithm that learns a continuous valuation model from discrete preferences. The algorithm automatically decides what items are best presented to an...
Eric Brochu, Nando de Freitas, Abhijeet Ghosh