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ICML
2009
IEEE
16 years 5 months ago
Partially supervised feature selection with regularized linear models
This paper addresses feature selection techniques for classification of high dimensional data, such as those produced by microarray experiments. Some prior knowledge may be availa...
Thibault Helleputte, Pierre Dupont
ICML
2002
IEEE
16 years 5 months ago
A New Statistical Approach to Personal Name Extraction
We propose a new statistical approach to extracting personal names from a corpus. One of the key points of our approach is that it can both automatically learn the characteristics...
Zheng Chen, Liu Wenyin, Feng Zhang
ALT
2005
Springer
16 years 1 months ago
PAC-Learnability of Probabilistic Deterministic Finite State Automata in Terms of Variation Distance
We consider the problem of PAC-learning distributions over strings, represented by probabilistic deterministic finite automata (PDFAs). PDFAs are a probabilistic model for the gen...
Nick Palmer, Paul W. Goldberg
WCRE
2007
IEEE
15 years 11 months ago
Dynamic Protocol Recovery
Dynamic protocol recovery tries to recover a component’s sequencing constraints by means of dynamic analysis. This problem has been tackled by several automaton learning approac...
Jochen Quante, Rainer Koschke
HT
2003
ACM
15 years 9 months ago
Is simple sequencing simple adaptive hypermedia?
In this paper, we explore the differences between the Adaptive Hypermedia and IMS Simple Sequencing approaches. Both approaches provide learning material tailored for the learner...
Nor Aniza Abdullah, Hugh C. Davis