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» The Localization Hypothesis and Machines
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CAEPIA
2003
Springer
14 years 3 months ago
Enhancing Consistency Based Diagnosis with Machine Learning Techniques
This paper proposes a diagnosis architecture that integrates consistency based diagnosis with induced time series classifiers, trying to combine the advantages of both methods. Co...
Carlos J. Alonso, Juan José Rodrígue...
ICPR
2004
IEEE
14 years 11 months ago
Corner Detection Using Support Vector Machines
A support vector machine based algorithm for corner detection is presented. It is based on computing the direction of maximum gray-level change for each edge pixel in an image, an...
Malay K. Kundu, Minakshi Banerjee, Pabitra Mitra
ICML
2010
IEEE
13 years 11 months ago
Learning Deep Boltzmann Machines using Adaptive MCMC
When modeling high-dimensional richly structured data, it is often the case that the distribution defined by the Deep Boltzmann Machine (DBM) has a rough energy landscape with man...
Ruslan Salakhutdinov
ICARIS
2005
Springer
14 years 3 months ago
Immunising Automated Teller Machines
Abstract. This paper presents an immune-inspired adaptable error detection (AED) framework for Automated Teller Machines (ATMs). This framework two levels, one level is local to a ...
Modupe Ayara, Jon Timmis, Rogério de Lemos,...
ALT
2005
Springer
14 years 6 months ago
Teaching Learners with Restricted Mind Changes
Within learning theory teaching has been studied in various ways. In a common variant the teacher has to teach all learners that are restricted to output only consistent hypotheses...
Frank J. Balbach, Thomas Zeugmann