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AAAI
1996
15 years 5 months ago
Sequential Inductive Learning
This article advocates a new model for inductive learning. Called sequential induction, it helps bridge classical fixed-sample learning techniques (which are efficient but difficu...
Jonathan Gratch
159
Voted
CVIU
2008
209views more  CVIU 2008»
15 years 3 months ago
Combining visual dictionary, kernel-based similarity and learning strategy for image category retrieval
This paper presents a search engine architecture, RETIN, aiming at retrieving complex categories in large image databases. For indexing, a scheme based on a two-step quantization ...
Philippe Henri Gosselin, Matthieu Cord, Sylvie Phi...
146
Voted
ICML
2010
IEEE
15 years 1 months ago
Implicit Online Learning
Online learning algorithms have recently risen to prominence due to their strong theoretical guarantees and an increasing number of practical applications for large-scale data ana...
Brian Kulis, Peter L. Bartlett
127
Voted
ICML
2006
IEEE
16 years 4 months ago
The support vector decomposition machine
In machine learning problems with tens of thousands of features and only dozens or hundreds of independent training examples, dimensionality reduction is essential for good learni...
Francisco Pereira, Geoffrey J. Gordon
131
Voted
KDD
1994
ACM
96views Data Mining» more  KDD 1994»
15 years 7 months ago
DICE: A Discovery Environment Integrating Inductive Bias
: Most of Knowledge Discovery in Database (KDD) systems are integrating efficient Machine Learning techniques. In fact issues in Machine Learning and KDD are very close allowing fo...
Jean-Daniel Zucker, Vincent Corruble, J. Thomas, G...