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NIPS
2004
15 years 7 months ago
Computing regularization paths for learning multiple kernels
The problem of learning a sparse conic combination of kernel functions or kernel matrices for classification or regression can be achieved via the regularization by a block 1-norm...
Francis R. Bach, Romain Thibaux, Michael I. Jordan
IJISTA
2007
124views more  IJISTA 2007»
15 years 6 months ago
Incremental learning for spoken affect classification and its application in call-centres
: This paper introduces a system for real-time incremental learning in a call-centre environment. The classifier used is a Support Vector Machine (SVM) and it is applied to telepho...
Donn Morrison, Ruili Wang, W. L. Xu, Liyanage C. D...
SAC
2006
ACM
16 years 11 days ago
The impact of sample reduction on PCA-based feature extraction for supervised learning
“The curse of dimensionality” is pertinent to many learning algorithms, and it denotes the drastic raise of computational complexity and classification error in high dimension...
Mykola Pechenizkiy, Seppo Puuronen, Alexey Tsymbal
ICMCS
1999
IEEE
131views Multimedia» more  ICMCS 1999»
15 years 10 months ago
A Method for Evaluating Multimedia Learning Software
We submit a method (EMPI: Evaluation of Multimedia, Pedagogical and Interactive software) to evaluate multimedia software used in educational context. Our purpose is to help users...
Stéphane Crozat, Olivier Hû, Philippe...
KDD
1998
ACM
99views Data Mining» more  KDD 1998»
15 years 10 months ago
Learning to Predict the Duration of an Automobile Trip
In this paper, weexplore the use of machinelearning and data mining to improvethe prediction of travel times in an automobile. Weconsider two formulations of this problem, one tha...
Simon Handley, Pat Langley, Folke A. Rauscher