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» Predicting relative performance of classifiers from samples
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155
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ICCV
2005
IEEE
16 years 5 months ago
Class-Specific Material Categorisation
Although a considerable amount of work has been published on material classification, relatively little of it studies situations with considerable variation within each class. Man...
Barbara Caputo, Eric Hayman, P. Mallikarjuna
121
Voted
PKDD
2010
Springer
128views Data Mining» more  PKDD 2010»
15 years 2 months ago
Learning to Tag from Open Vocabulary Labels
Most approaches to classifying media content assume a fixed, closed vocabulary of labels. In contrast, we advocate machine learning approaches which take advantage of the millions...
Edith Law, Burr Settles, Tom M. Mitchell
JAIR
2006
137views more  JAIR 2006»
15 years 3 months ago
Learning Sentence-internal Temporal Relations
In this paper we propose a data intensive approach for inferring sentence-internal temporal relations. Temporal inference is relevant for practical NLP applications which either e...
Maria Lapata, Alex Lascarides
141
Voted
ILP
2003
Springer
15 years 9 months ago
Relational IBL in Music with a New Structural Similarity Measure
It is well known that many hard tasks considered in machine learning and data mining can be solved in an rather simple and robust way with an instance- and distance-based approach....
Asmir Tobudic, Gerhard Widmer
CEC
2007
IEEE
15 years 8 months ago
Evolution of classification rules for comprehensible knowledge discovery
This article, which lies within the data mining framework, proposes a method to build classifiers based on the evolution of rules. The method, named REC (Rule Evolution for Classif...
Emiliano Carreno, Guillermo Leguizamón, Nea...