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» A new Informative Generic Base of Association Rules
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PR
2006
80views more  PR 2006»
13 years 7 months ago
Neighborhood size selection in the k-nearest-neighbor rule using statistical confidence
The k-nearest-neighbor rule is one of the most attractive pattern classification algorithms. In practice, the choice of k is determined by the cross-validation method. In this wor...
Jigang Wang, Predrag Neskovic, Leon N. Cooper
AMC
2008
87views more  AMC 2008»
13 years 7 months ago
Mining classification rules with Reduced MEPAR-miner Algorithm
In this study, a new classification technique based on rough set theory and MEPAR-miner algorithm for association rule mining is introduced. Proposed method is called as `Reduced ...
Emel Kizilkaya Aydogan, Cevriye Gencer
TNN
2008
88views more  TNN 2008»
13 years 7 months ago
A New Approach to Knowledge-Based Design of Recurrent Neural Networks
Abstract-- A major drawback of artificial neural networks (ANNs) is their black-box character. This is especially true for recurrent neural networks (RNNs) because of their intrica...
Eyal Kolman, Michael Margaliot
AAAI
2010
13 years 9 months ago
Adopting Inference Networks for Online Thread Retrieval
Online forums contain valuable human-generated information. End-users looking for information would like to find only those threads in forums where relevant information is present...
Sumit Bhatia, Prasenjit Mitra
ACL
2001
13 years 9 months ago
Information Extraction from Voicemail
In this paper we address the problem of extracting key pieces of information from voicemail messages, such as the identity and phone number of the caller. This task differs from t...
Jing Huang, Geoffrey Zweig, Mukund Padmanabhan