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JASIS
2010
121views more  JASIS 2010»
13 years 3 months ago
Linear time series models for term weighting in information retrieval
Common measures of term importance in information retrieval (IR) rely on counts of term frequency; rare terms receive higher weight in document ranking than common terms receive. ...
Miles Efron
IEEEMSP
2002
IEEE
167views Multimedia» more  IEEEMSP 2002»
13 years 9 months ago
An experimental study on the performance of visual information retrieval similarity models
–This paper is an experimental study on the performance of the two major methods for macro-level similarity measurement: linear weighted merging and logical retrieval. Performanc...
Horst Eidenberger, Christian Breiteneder
IJCNN
2007
IEEE
13 years 11 months ago
Automated Linear Modeling of Time Series with Self Adaptive Genetic Algorithms
—In this paper we present two algorithms that automatically calculate linear expressions for Time Series. To estimate the maximum number of terms of the linear expression and the...
Pedro Flores, Carlos Anaya, Hector M. Ramirez, Lui...
SPIRE
2007
Springer
13 years 11 months ago
Extending Weighting Models with a Term Quality Measure
Abstract. Weighting models use lexical statistics, such as term frequencies, to derive term weights, which are used to estimate the relevance of a document to a query. Apart from t...
Christina Lioma, Iadh Ounis
ECIR
2007
Springer
13 years 6 months ago
Multinomial Randomness Models for Retrieval with Document Fields
Document fields, such as the title or the headings of a document, offer a way to consider the structure of documents for retrieval. Most of the proposed approaches in the literatu...
Vassilis Plachouras, Iadh Ounis