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ECML
1993
Springer
13 years 11 months ago
Complexity Dimensions and Learnability
In machine learning theory, problem classes are distinguished because of di erences in complexity. In 6 , a stochastic model of learning from examples was introduced. This PAClear...
Shan-Hwei Nienhuys-Cheng, Mark Polman
FLAIRS
2004
13 years 9 months ago
The Optimality of Naive Bayes
Naive Bayes is one of the most efficient and effective inductive learning algorithms for machine learning and data mining. Its competitive performance in classification is surpris...
Harry Zhang
TSE
2008
92views more  TSE 2008»
13 years 7 months ago
Metrics for Measuring the Quality of Modularization of Large-Scale Object-Oriented Software
The metrics formulated to date for characterizing the modularization quality of object-oriented software have considered module and class to be synonymous concepts. But, a typical ...
Santonu Sarkar, Avinash C. Kak, Girish Maskeri Ram...
CLEF
2010
Springer
13 years 8 months ago
Patent Classification Experiments with the Linguistic Classification System LCS
In the context of the CLEF-IP 2010 classification task, we conducted a series of experiments with the Linguistic Classification System (LCS). We compared ment representations for p...
Suzan Verberne, Merijn Vogel, Eva D'hondt
MM
2005
ACM
164views Multimedia» more  MM 2005»
14 years 1 months ago
Automatic discovery of query-class-dependent models for multimodal search
We develop a framework for the automatic discovery of query classes for query-class-dependent search models in multimodal retrieval. The framework automatically discovers useful q...
Lyndon S. Kennedy, Apostol Natsev, Shih-Fu Chang