BMCBI
2004
13 years 4 months ago
2004
Background: To identify differentially expressed genes across experimental conditions in oligonucleotide microarray experiments, existing statistical methods commonly use a summar...
IJCAI
1993
13 years 5 months ago
1993
The output of handwritten word recognizers (HWR) tends to be very noisy due to various factors. In order to compensate for this behaviour, several choices of the HWR must be initi...
COLING
1996
13 years 5 months ago
1996
In order to extractrigidexpressions with a high frequency of use, new algorithm that can efficientlyextract both uninterruptedand interruptedcollocationsfrom very large corpora ha...
ACL
1996
13 years 5 months ago
1996
We use a statistical method to select the most probable structure or parse for a given sentence. It takes as input the dependency structures generated for the sentence by a depend...
NDDL
2001
13 years 6 months ago
2001
Given a large hierarchical concept dictionary (thesaurus, or ontology), the task of selection of the concepts that describe the contents of a given document is considered. A stati...
ACL
2001
13 years 6 months ago
2001
We propose a statistical method that finds the maximum-probability segmentation of a given text. This method does not require training data because it estimates probabilities from...
ACL
2004
13 years 6 months ago
2004
We discuss Feature Latent Semantic Analysis (FLSA), an extension to Latent Semantic Analysis (LSA). LSA is a statistical method that is ordinarily trained on words only; FLSA adds...
NAACL
2007
13 years 6 months ago
2007
An intelligent thesaurus assists a writer with alternative choices of words and orders them by their suitability in the writing context. In this paper we focus on methods for auto...
CSB
2002
IEEE
13 years 9 months ago
2002
IEEE
We present a statistical method that can swiftly identify, from the literature, sets of genes known to be associated with given diseases. It offers a comprehensive way to treat al...
ANSS
2007
IEEE
13 years 11 months ago
2007
IEEE
Accurate failure prediction in Grids is critical for reasoning about QoS guarantees such as job completion time and availability. Statistical methods can be used but they suffer f...