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» Parameterized Learning Complexity
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125
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ICCE
2007
109views Education» more  ICCE 2007»
15 years 5 months ago
Information Sharing and Interaction in Collaborative Convergence
: In multiple research literatures, successful collaborative problem solving and learning is analyzed in terms of success of information sharing. In this paper we report analyses o...
Daniel D. Suthers, Ravikiran Vatrapu, Richard Medi...
138
Voted
IICAI
2007
15 years 5 months ago
Modeling Temporal Behavior via Structured Hidden Markov Models: an Application to Keystroking Dynamics
Structured Hidden Markov Models (S-HMM) are a variant of Hierarchical Hidden Markov Models; it provides an abstraction mechanism allowing a high level symbolic description of the k...
Ugo Galassi, Attilio Giordana, Charbel Julien, Lor...
122
Voted
IJCAI
2007
15 years 5 months ago
Real Boosting a la Carte with an Application to Boosting Oblique Decision Tree
In the past ten years, boosting has become a major field of machine learning and classification. This paper brings contributions to its theory and algorithms. We first unify a ...
Claudia Henry, Richard Nock, Frank Nielsen
145
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SDM
2008
SIAM
117views Data Mining» more  SDM 2008»
15 years 5 months ago
A Feature Selection Algorithm Capable of Handling Extremely Large Data Dimensionality
With the advent of high throughput technologies, feature selection has become increasingly important in a wide range of scientific disciplines. We propose a new feature selection ...
Yijun Sun, Sinisa Todorovic, Steve Goodison
160
Voted
UAI
2008
15 years 5 months ago
Improving the Accuracy and Efficiency of MAP Inference for Markov Logic
In this work we present Cutting Plane Inference (CPI), a Maximum A Posteriori (MAP) inference method for Statistical Relational Learning. Framed in terms of Markov Logic and inspi...
Sebastian Riedel