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» Resampling methods for input modeling
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ISNN
2005
Springer
15 years 9 months ago
Feature Selection and Intrusion Detection Using Hybrid Flexible Neural Tree
Current Intrusion Detection Systems (IDS) examine all data features to detect intrusion or misuse patterns. Some of the features may be redundant or contribute little (if anything)...
Yuehui Chen, Ajith Abraham, Ju Yang
EMNLP
2007
15 years 4 months ago
Syntactic Re-Alignment Models for Machine Translation
We present a method for improving word alignment for statistical syntax-based machine translation that employs a syntactically informed alignment model closer to the translation m...
Jonathan May, Kevin Knight
141
Voted
PAKDD
2005
ACM
128views Data Mining» more  PAKDD 2005»
15 years 8 months ago
A Framework for Incorporating Class Priors into Discriminative Classification
Abstract. Discriminative and generative methods provide two distinct approaches to machine learning classification. One advantage of generative approaches is that they naturally mo...
Rong Jin, Yi Liu
SAS
2001
Springer
121views Formal Methods» more  SAS 2001»
15 years 7 months ago
Embedding Chaos
Model checking would answer all finite-state verification problems, if it were not for the notorious state-space explosion problem. A problem of practical importance, which attra...
Natalia Sidorova, Martin Steffen
BMCBI
2006
92views more  BMCBI 2006»
15 years 3 months ago
A jumping profile Hidden Markov Model and applications to recombination sites in HIV and HCV genomes
Background: Jumping alignments have recently been proposed as a strategy to search a given multiple sequence alignment A against a database. Instead of comparing a database sequen...
Anne-Kathrin Schultz, Ming Zhang, Thomas Leitner, ...