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DIS
2006
Springer
15 years 10 months ago
Incremental Algorithm Driven by Error Margins
Incremental learning is an approach to deal with the classification task when datasets are too large or when new examples can arrive at any time. One possible approach uses concent...
Gonzalo Ramos-Jiménez, José del Camp...
DIS
2006
Springer
15 years 10 months ago
Model-Based Estimation of Word Saliency in Text
Abstract. We investigate a generative latent variable model for modelbased word saliency estimation for text modelling and classification. The estimation algorithm derived is able ...
Xin Wang, Ata Kabán
ENC
2006
IEEE
15 years 10 months ago
Adaptive Node Refinement Collocation Method for Partial Differential Equations
In this work, by using the local node refinement technique purposed in [2, 1], and a quad-tree type algorithm [3, 13], we built a global refinement technique for Kansa's unsy...
José Antonio Muñoz-Gómez, Ped...
ERSHOV
2006
Springer
15 years 10 months ago
On the Importance of Parameter Tuning in Text Categorization
Abstract. Text Categorization algorithms have a large number of parameters that determine their behaviour, whose effect is not easily predicted objectively or intuitively and may v...
Cornelis H. A. Koster, Jean Beney
FOCS
2006
IEEE
15 years 10 months ago
Witnesses for non-satisfiability of dense random 3CNF formulas
We consider random 3CNF formulas with n variables and m clauses. It is well known that when m > cn (for a sufficiently large constant c), most formulas are not satisfiable. How...
Uriel Feige, Jeong Han Kim, Eran Ofek
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