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ECIR
2009
Springer
14 years 8 months ago
Correlation of Term Count and Document Frequency for Google N-Grams
For bounded datasets such as the TREC Web Track (WT10g) the computation of term frequency (TF) and inverse document frequency (IDF) is not difficult. However, when the corpus is th...
Martin Klein, Michael L. Nelson
ISMIR
2003
Springer
94views Music» more  ISMIR 2003»
14 years 4 months ago
A multiple feature model for musical similarity retrieval
Despite the “fuzzy” nature of musical similarity, which varies from one person to another, perceptual low level features combined with appropriate classification schemes have...
E. Allamanche, Jürgen Herre, Oliver Hellmuth,...
AIR
2005
126views more  AIR 2005»
13 years 10 months ago
The Explanatory Power of Symbolic Similarity in Case-Based Reasoning
A desired capability of automatic problem solvers is that they can explain the results. Such explanations should justify that the solution proposed by the problem solver arises fr...
Enric Plaza, Eva Armengol, Santiago Ontañ&o...
LREC
2008
124views Education» more  LREC 2008»
14 years 10 days ago
Clustering Related Terms with Definitions
It is a challenging task to match similar or related terms/expressions in NLP and Text Mining applications. Two typical areas in need for such work are terminology and ontology co...
Scott Songlin Piao, John McNaught, Sophia Ananiado...
CICLING
2010
Springer
14 years 2 months ago
Adaptive Term Weighting through Stochastic Optimization
Term weighting strongly influences the performance of text mining and information retrieval approaches. Usually term weights are determined through statistical estimates based on s...
Michael Granitzer