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» A Theory for Memory-Based Learning
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ICPR
2002
IEEE
15 years 11 months ago
Motion Prediction Using VC-Generalization Bounds
This paper describes a novel application of Statistical Learning Theory (SLT) for motion prediction. SLT provides analytical VC-generalization bounds for model selection; these bo...
Harry Wechsler, Zoran Duric, Fayin Li, Vladimir Ch...
DL
1999
Springer
111views Digital Library» more  DL 1999»
15 years 10 months ago
TalkMine and the Adaptive Recommendation Project
TalkMine is an adaptive recommendation system which is both content-based and collaborative, and further allows the crossover of information among multiple databases searched by u...
Luis Mateus Rocha
COMPSYSTECH
2007
15 years 10 months ago
A refinement model with information granulation focused on difficult to distinguish cases
: The paper proposes a different approach to data modeling. Analogous to the rejection method, where the misclassifications are removed and manually evaluated, we focus here on dif...
Plamena Andreeva, Plamen Andreev, Maya Dimitrova, ...
KDD
1995
ACM
139views Data Mining» more  KDD 1995»
15 years 9 months ago
Extracting Support Data for a Given Task
We report a novel possibility for extracting a small subset of a data base which contains all the information necessary to solve a given classification task: using the Support Vec...
Bernhard Schölkopf, Chris Burges, Vladimir Va...
ICLP
2010
Springer
15 years 9 months ago
Inductive Logic Programming as Abductive Search
We present a novel approach to non-monotonic ILP and its implementation called tal (Top-directed Abductive Learning). tal overcomes some of the completeness problems of ILP systems...
Domenico Corapi, Alessandra Russo, Emil Lupu