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FOCS
1990
IEEE
15 years 8 months ago
Separating Distribution-Free and Mistake-Bound Learning Models over the Boolean Domain
Two of the most commonly used models in computational learning theory are the distribution-free model in which examples are chosen from a fixed but arbitrary distribution, and the ...
Avrim Blum
SIGIR
2009
ACM
15 years 10 months ago
Positional language models for information retrieval
Although many variants of language models have been proposed for information retrieval, there are two related retrieval heuristics remaining “external” to the language modelin...
Yuanhua Lv, ChengXiang Zhai
ICCSA
2005
Springer
15 years 9 months ago
Conceptual Modeling of Genetic Studies and Pharmacogenetics
Genetic Studies examine relationships between genetic variation and disease development. Pharmacogenetics studies the responses to drugs against genetic variation. These two lines ...
Xiaohua Zhou, Il-Yeol Song
WWW
2001
ACM
16 years 4 months ago
The design and implementation of the redland RDF application framework
Resource Description Framework (RDF) is a general description technology that can be applied to many application domains. Redland is a software library for RDF which implements a ...
Dave J. Beckett
GEOS
2007
Springer
15 years 10 months ago
Modeling Spatio-temporal Network Computations: A Summary of Results
Spatio-temporal network is defined by a set of nodes, and a set of edges, where the properties of nodes and edges may vary over time. Such networks are encountered in a variety of...
Betsy George, Shashi Shekhar