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ACL
2004
14 years 11 months ago
An Alternative Method of Training Probabilistic LR Parsers
We discuss existing approaches to train LR parsers, which have been used for statistical resolution of structural ambiguity. These approaches are nonoptimal, in the sense that a c...
Mark-Jan Nederhof, Giorgio Satta
CORR
2012
Springer
183views Education» more  CORR 2012»
13 years 5 months ago
Learning Determinantal Point Processes
Determinantal point processes (DPPs), which arise in random matrix theory and quantum physics, are natural models for subset selection problems where diversity is preferred. Among...
Alex Kulesza, Ben Taskar
CORR
2012
Springer
292views Education» more  CORR 2012»
13 years 5 months ago
Optimal Threshold Control by the Robots of Web Search Engines with Obsolescence of Documents
A typical web search engine consists of three principal parts: crawling engine, indexing engine, and searching engine. The present work aims to optimize the performance of the cra...
Konstantin Avrachenkov, Alexander N. Dudin, Valent...
3DPVT
2002
IEEE
108views Visualization» more  3DPVT 2002»
15 years 2 months ago
Probabilistic 3D Data Fusion for Adaptive Resolution Surface Generation
In this paper we present an algorithm for adaptive resolution integration of 3D data collected from multiple distributed sensors. The input to the algorithm is a set of 3D surface...
Andrew E. Johnson, Roberto Manduchi
EWMF
2003
Springer
15 years 2 months ago
Mining Web Sites Using Wrapper Induction, Named Entities, and Post-processing
This paper presents a novel method for extracting information from collections of Web pages across different sites. Our method uses a standard wrapper induction algorithm and explo...
Georgios Sigletos, Georgios Paliouras, Constantine...