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» Some Results on Effective Randomness
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TNN
2010
143views Management» more  TNN 2010»
15 years 1 months ago
Using unsupervised analysis to constrain generalization bounds for support vector classifiers
Abstract--A crucial issue in designing learning machines is to select the correct model parameters. When the number of available samples is small, theoretical sample-based generali...
Sergio Decherchi, Sandro Ridella, Rodolfo Zunino, ...
WECWIS
2009
IEEE
104views ECommerce» more  WECWIS 2009»
16 years 1 months ago
Online Auctions: There Can Be Only One
—In recent years, the proliferation of the world wide web has lead to an increase in the number of public auctions on the internet. One of the characteristics of online auctions ...
Charu C. Aggarwal, Philip S. Yu
NAACL
2003
15 years 8 months ago
Japanese Named Entity Extraction with Redundant Morphological Analysis
Named Entity (NE) extraction is an important subtask of document processing such as information extraction and question answering. A typical method used for NE extraction of Japan...
Masayuki Asahara, Yuji Matsumoto
ACSC
2004
IEEE
15 years 10 months ago
Code Improvements for Model Elimination Based Reasoning Systems
We have been investigating ways in which the performance of model elimination based systems can be improved and in this paper we present some of our results. Firstly, we have inve...
Richard A. Hagen, Scott D. Goodwin, Abdul Sattar
NIPS
2008
15 years 8 months ago
Non-stationary dynamic Bayesian networks
Abstract: Structure learning of dynamic Bayesian networks provide a principled mechanism for identifying conditional dependencies in time-series data. This learning procedure assum...
Joshua W. Robinson, Alexander J. Hartemink