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» Learning Models for Predicting Recognition Performance
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AUSAI
2004
Springer
14 years 3 months ago
MML Inference of Oblique Decision Trees
We propose a multivariate decision tree inference scheme by using the minimum message length (MML) principle (Wallace and Boulton, 1968; Wallace and Dowe, 1999). The scheme uses MM...
Peter J. Tan, David L. Dowe
PPSN
1998
Springer
14 years 2 months ago
Ant Colonies for Adaptive Routing in Packet-Switched Communications Networks
In this paper we present AntNet, a novel adaptive approach to routing tables learning in packet-switched communications networks. AntNet is inspired by the stigmergy model of commu...
Gianni Di Caro, Marco Dorigo
AND
2009
13 years 8 months ago
Discovering voter preferences in blogs using mixtures of topic models
In this paper we propose a new approach to capture the inclination towards a certain election candidate from the contents of blogs and to explain why that inclination may be so. T...
Pradipto Das, Rohini K. Srihari, Smruthi Mukund
JCDL
2009
ACM
139views Education» more  JCDL 2009»
14 years 4 months ago
Topic model methods for automatically identifying out-of-scope resources
Recent years have seen the rise of subject-themed digital libraries, such as the NSDL pathways and the Digital Library for Earth System Education (DLESE). These libraries often ne...
Steven Bethard, Soumya Ghosh, James H. Martin, Tam...
JCB
2006
185views more  JCB 2006»
13 years 10 months ago
A Probabilistic Methodology for Integrating Knowledge and Experiments on Biological Networks
Biological systems are traditionally studied by focusing on a specific subsystem, building an intuitive model for it, and refining the model using results from carefully designed ...
Irit Gat-Viks, Amos Tanay, Daniela Raijman, Ron Sh...