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ML
2002
ACM
163views Machine Learning» more  ML 2002»
13 years 8 months ago
Structural Modelling with Sparse Kernels
A widely acknowledged drawback of many statistical modelling techniques, commonly used in machine learning, is that the resulting model is extremely difficult to interpret. A numb...
Steve R. Gunn, Jaz S. Kandola
TIP
2008
185views more  TIP 2008»
13 years 8 months ago
Active Learning Methods for Interactive Image Retrieval
Active learning methods have been considered with increased interest in the statistical learning community. Initially developed within a classification framework, a lot of extensio...
Philippe Henri Gosselin, Matthieu Cord
ECAI
2010
Springer
13 years 7 months ago
Describing the Result of a Classifier to the End-User: Geometric-based Sensitivity
This paper addresses the issue of supporting the end-user of a classifier, when it is used as a decision support system, to classify new cases. We consider several kinds of classif...
Isabelle Alvarez, Sophie Martin, Salma Mesmoudi
GLOBECOM
2010
IEEE
13 years 7 months ago
Cache-Based Scalable Deep Packet Inspection with Predictive Automaton
Abstract--Regular expression (Regex) becomes the standard signature language for security and application detection. Deterministic finite automata (DFAs) are widely used to perform...
Yi Tang, Junchen Jiang, Xiaofei Wang, Yi Wang, Bin...
EXACT
2009
13 years 6 months ago
Explaining a Result to the End-User: A Geometric Approach for Classification Problems
This paper addresses the issue of the explanation of the result given to the end-user by a classifier, when it is used as a decision support system. We consider machine learning cl...
Isabelle Alvarez, Sophie Martin