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» Generating Rule Sets from Model Trees
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115
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ICPR
2008
IEEE
16 years 5 months ago
Supervised learning of a generative model for edge-weighted graphs
This paper addresses the problem of learning archetypal structural models from examples. To this end we define a generative model for graphs where the distribution of observed nod...
Andrea Torsello, David L. Dowe
PRL
2002
213views more  PRL 2002»
15 years 3 months ago
Character preclassification based on genetic programming
This paper presents a learning system that uses genetic programming as a tool for automatically inferring the set of classification rules to be used during a preclassification sta...
Claudio De Stefano, Antonio Della Cioppa, Angelo M...
129
Voted
PR
2008
145views more  PR 2008»
15 years 3 months ago
Probabilistic suffix models for API sequence analysis of Windows XP applications
Given the pervasive nature of malicious mobile code (viruses, worms, etc.), developing statistical/structural models of code execution is of considerable importance. We investigat...
Geoffrey Mazeroff, Jens Gregor, Michael G. Thomaso...
MOBIHOC
2008
ACM
16 years 3 months ago
An O(log n) dominating set protocol for wireless ad-hoc networks under the physical interference model
Dealing with interference is one of the primary challenges to solve in the design of protocols for wireless ad-hoc networks. Most of the work in the literature assumes localized o...
Christian Scheideler, Andréa W. Richa, Paol...
153
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COLING
2010
14 years 11 months ago
Unsupervised Discriminative Language Model Training for Machine Translation using Simulated Confusion Sets
An unsupervised discriminative training procedure is proposed for estimating a language model (LM) for machine translation (MT). An English-to-English synchronous context-free gra...
Zhifei Li, Ziyuan Wang, Sanjeev Khudanpur, Jason E...