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107
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ML
2002
ACM
107views Machine Learning» more  ML 2002»
15 years 3 months ago
Training Invariant Support Vector Machines
Practical experience has shown that in order to obtain the best possible performance, prior knowledge about invariances of a classification problem at hand ought to be incorporated...
Dennis DeCoste, Bernhard Schölkopf
159
Voted
FECS
2010
161views Education» more  FECS 2010»
15 years 1 months ago
Distributed Laboratories: A Finite State Machine Module
: This paper presents an experimental module for teaching finite state machine concepts. This module is designed for use in a lecture-based course that does not currently have a la...
Bonnie Ferri, Jill Auerbach, Hongyi Qu
133
Voted
IUI
2005
ACM
15 years 9 months ago
Building intelligent shopping assistants using individual consumer models
This paper describes an Intelligent Shopping Assistant designed for a shopping cart mounted tablet PC that enables individual interactions with customers. We use machine learning ...
Chad M. Cumby, Andrew E. Fano, Rayid Ghani, Marko ...
125
Voted
PTS
2007
99views Hardware» more  PTS 2007»
15 years 5 months ago
Testing Input/Output Partial Order Automata
Abstract. We propose an extension of the Finite State Machine framework in distributed systems, using input/output partial order automata (IOPOA). In this model, transitions can be...
Stefan Haar, Claude Jard, Guy-Vincent Jourdan
141
Voted
HIS
2004
15 years 5 months ago
Classification Ensembles for Shaft Test Data: Empirical Evaluation
: A-scans from ultrasonic testing of long shafts are complex signals. The discrimination of different types of echoes is of importance for non-destructive testing and equipment mai...
Kyungmi Lee, Vladimir Estivill-Castro