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IDEAL
2010
Springer
13 years 7 months ago
Typed Linear Chain Conditional Random Fields and Their Application to Intrusion Detection
Intrusion detection in computer networks faces the problem of a large number of both false alarms and unrecognized attacks. To improve the precision of detection, various machine l...
Carsten Elfers, Mirko Horstmann, Karsten Sohr, Ott...
EACL
2009
ACL Anthology
14 years 9 months ago
Fast Full Parsing by Linear-Chain Conditional Random Fields
Yoshimasa Tsuruoka, Jun-ichi Tsujii, Sophia Anania...
CDC
2008
IEEE
142views Control Systems» more  CDC 2008»
13 years 9 months ago
Stability analysis of linear hyperbolic systems with switching parameters and boundary conditions
Abstract— We study asymptotic stability of an infinite dimensional system that switches between a finite set of modes. Each mode is governed by a system of one-dimensional, lin...
Saurabh Amin, Falk M. Hante, Alexandre M. Bayen
GECCO
2006
Springer
177views Optimization» more  GECCO 2006»
14 years 11 days ago
Hyper-ellipsoidal conditions in XCS: rotation, linear approximation, and solution structure
The learning classifier system XCS is an iterative rulelearning system that evolves rule structures based on gradient-based prediction and rule quality estimates. Besides classifi...
Martin V. Butz, Pier Luca Lanzi, Stewart W. Wilson
JMLR
2006
140views more  JMLR 2006»
13 years 8 months ago
Active Learning in Approximately Linear Regression Based on Conditional Expectation of Generalization Error
The goal of active learning is to determine the locations of training input points so that the generalization error is minimized. We discuss the problem of active learning in line...
Masashi Sugiyama