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DEBU
2000
95views more  DEBU 2000»
13 years 8 months ago
Accurately and Reliably Extracting Data from the Web: A Machine Learning Approach
A critical problem in developing information agents for the Web is accessing data that is formatted for human use. We have developed a set of tools for extracting data from web si...
Craig A. Knoblock, Kristina Lerman, Steven Minton,...
JUCS
2008
139views more  JUCS 2008»
13 years 8 months ago
A Progressive Learning Method for Symbol Recognition
: This paper deals with a progressive learning method for symbol recognition which improves its own recognition rate when new symbols are recognized in graphic documents. We propos...
Sabine Barrat, Salvatore Tabbone
IOR
2011
107views more  IOR 2011»
13 years 3 months ago
Information Collection on a Graph
We derive a knowledge gradient policy for an optimal learning problem on a graph, in which we use sequential measurements to refine Bayesian estimates of individual edge values i...
Ilya O. Ryzhov, Warren B. Powell
ECBS
2005
IEEE
179views Hardware» more  ECBS 2005»
14 years 2 months ago
Prototype of Fault Adaptive Embedded Software for Large-Scale Real-Time Systems
This paper describes a comprehensive prototype of large-scale fault adaptive embedded software developed for the proposed Fermilab BTeV high energy physics experiment. Lightweight...
Derek Messie, Mina Jung, Jae C. Oh, Shweta Shetty,...
ADMA
2006
Springer
110views Data Mining» more  ADMA 2006»
14 years 15 days ago
Learning with Local Drift Detection
Abstract. Most of the work in Machine Learning assume that examples are generated at random according to some stationary probability distribution. In this work we study the problem...
João Gama, Gladys Castillo