Sciweavers

8099 search results - page 545 / 1620
» Higher-Order Task Models
Sort
View
IJCAI
2003
15 years 8 months ago
Hierarchical Hidden Markov Models for Information Extraction
Information extraction can be defined as the task of automatically extracting instances of specified classes or relations from text. We consider the case of using machine learni...
Marios Skounakis, Mark Craven, Soumya Ray
SIGIR
2010
ACM
15 years 7 months ago
A joint probabilistic classification model for resource selection
Resource selection is an important task in Federated Search to select a small number of most relevant information sources. Current resource selection algorithms such as GlOSS, COR...
Dzung Hong, Luo Si, Paul Bracke, Michael Witt, Tim...
ICASSP
2010
IEEE
15 years 7 months ago
Improving speech recognition by explicit modeling of phone deletions
In a paper published by Greenberg in 1998, it was said that in conversational speech, phone deletion rate may go as high as 12% whereas syllable deletion rate is about 1%. The fi...
Tom Ko, Brian Mak
CORR
2006
Springer
102views Education» more  CORR 2006»
15 years 7 months ago
A library of Taylor models for PVS automatic proof checker
We present in this paper a library to compute with Taylor models, a technique extending interval arithmetic to reduce decorrelation and to solve differential equations. Numerical s...
Francisco Cháves, Marc Daumas
JMLR
2008
209views more  JMLR 2008»
15 years 7 months ago
Bayesian Inference and Optimal Design for the Sparse Linear Model
The linear model with sparsity-favouring prior on the coefficients has important applications in many different domains. In machine learning, most methods to date search for maxim...
Matthias W. Seeger