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» Hierarchical Text Categorization Using Neural Networks
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WWW
2006
ACM
16 years 7 days ago
System for spatio-temporal analysis of online news and blogs
Previous work on spatio-temporal analysis of news items and other documents has largely focused on broad categorization of small text collections by region or country. A system fo...
Angelo Dalli
SIGIR
1992
ACM
15 years 3 months ago
Classifying News Stories using Memory Based Reasoning
ct tasks such as extraction of relational information from text [Young] [Jacobs]. We describe a method for classifying news stories using Alternative systems [Biebricher] [Lewis] u...
Brij M. Masand, Gordon Linoff, David L. Waltz
IWANN
2009
Springer
15 years 6 months ago
GREAT: Gene Regulation EvAluation Tool
Our understanding of biological systems is highly dependent on the study of the mechanisms that regulate genetic expression. In this paper we present a tool to evaluate scientific ...
Catia Machado, Hugo P. Bastos, Francisco M. Couto
BMCBI
2010
174views more  BMCBI 2010»
14 years 11 months ago
The effect of prior assumptions over the weights in BayesPI with application to study protein-DNA interactions from ChIP-based h
Background: To further understand the implementation of hyperparameters re-estimation technique in Bayesian hierarchical model, we added two more prior assumptions over the weight...
Junbai Wang
NIPS
2000
15 years 28 days ago
A Neural Probabilistic Language Model
A goal of statistical language modeling is to learn the joint probability function of sequences of words in a language. This is intrinsically difficult because of the curse of dim...
Yoshua Bengio, Réjean Ducharme, Pascal Vinc...