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69
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IGPL
2007
107views more  IGPL 2007»
14 years 9 months ago
Equal Rights for the Cut: Computable Non-analytic Cuts in Cut-based Proofs
This work studies the structure of proofs containing non-analytic cuts in the cut-based system, a sequent inference system in which the cut rule is not eliminable and the only bra...
Marcelo Finger, Dov M. Gabbay
CORR
2010
Springer
74views Education» more  CORR 2010»
14 years 9 months ago
Significance of Classification Techniques in Prediction of Learning Disabilities
The aim of this study is to show the importance of two classification techniques, viz. decision tree and clustering, in prediction of learning disabilities (LD) of school-age chil...
Julie M. David, Kannan Balakrishnan
ANOR
2010
82views more  ANOR 2010»
14 years 9 months ago
Time-based detection of changes to multivariate patterns
Detection of changes to multivariate patterns is an important topic in a number of different domains. Modern data sets often include categorical and numerical data and potentially...
Jing Hu, George C. Runger
69
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ICMI
2007
Springer
112views Biometrics» more  ICMI 2007»
15 years 3 months ago
How to distinguish posed from spontaneous smiles using geometric features
Automatic distinction between posed and spontaneous expressions is an unsolved problem. Previously cognitive sciences’ studies indicated that the automatic separation of posed f...
Michel François Valstar, Hatice Gunes, Maja...
IFIP12
2008
14 years 11 months ago
P-Prism: A Computationally Efficient Approach to Scaling up Classification Rule Induction
Top Down Induction of Decision Trees (TDIDT) is the most commonly used method of constructing a model from a dataset in the form of classification rules to classify previously unse...
Frederic T. Stahl, Max A. Bramer, Mo Adda