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» Learning to learn with the informative vector machine
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ICML
1999
IEEE
16 years 7 months ago
Making Better Use of Global Discretization
Before applying learning algorithms to datasets, practitioners often globally discretize any numeric attributes. If the algorithm cannot handle numeric attributes directly, prior ...
Eibe Frank, Ian H. Witten
ICALT
2007
IEEE
16 years 1 months ago
Bayesian Modelling of Confusability of Phoneme-Grapheme Connections
Deficiencies in the ability to map letters to sounds are currently considered to be the most likely early signs of dyslexia [4]. This has motivated the use of Literate, a compute...
Mikko Vilenius, Janne V. Kujala, Ulla Richardson, ...
ECTEL
2006
Springer
15 years 10 months ago
A Framework for Building Virtual Communities for Education
The aim of education is to provide the basis for life long learning and improvement. In this direction, schools and universities offer standard curricula aiming to cover the fundam...
Iraklis Varlamis, Ioannis Apostolakis
CAINE
2008
15 years 8 months ago
A Graphics-User Interface in Support of a Cognitive Inference Architecture
- The objective of this paper is to present a graphical-user-interface (GUI) in support of a decision support system (KASER) for machine understanding. In order to provide informat...
Isai Michel Lombera, Jayeshkumar Patel, Stuart Har...
ICML
2007
IEEE
16 years 7 months ago
Pegasos: Primal Estimated sub-GrAdient SOlver for SVM
We describe and analyze a simple and effective iterative algorithm for solving the optimization problem cast by Support Vector Machines (SVM). Our method alternates between stocha...
Shai Shalev-Shwartz, Yoram Singer, Nathan Srebro