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CORR
2004
Springer
140views Education» more  CORR 2004»
14 years 11 months ago
Integrating Defeasible Argumentation and Machine Learning Techniques
The field of machine learning (ML) is concerned with the question of how to construct algorithms that automatically improve with experience. In recent years many successful ML app...
Sergio Alejandro Gómez, Carlos Iván ...
CVPR
2009
IEEE
1390views Computer Vision» more  CVPR 2009»
16 years 7 months ago
Stacks of Convolutional Restricted Boltzmann Machines for Shift-Invariant Feature Learning
In this paper we present a method for learning classspecific features for recognition. Recently a greedy layerwise procedure was proposed to initialize weights of deep belief ne...
Mohammad Norouzi (Simon Fraser University), Mani R...
IRCDL
2008
15 years 1 months ago
A New Machine Learning Based Approach for Sentiment Classification of Italian documents
Several sites allow users to publish personal reviews about products and services available on the market. In this paper, we consider the problem of applying classification techniq...
Paolo Casoto, Antonina Dattolo, Paolo Omero, Nirma...
CBMS
2006
IEEE
15 years 5 months ago
Machine Learning Techniques to Enable Closed-Loop Control in Anesthesia
The growing availability of high throughput measurement devices in the operating room makes possible the collection of a huge amount of data about the state of the patient and the...
Olivier Caelen, Gianluca Bontempi, Eddy Coussaert,...
ECAI
2000
Springer
15 years 4 months ago
On Efficiency of Learning: A Framework and Justification
Abstract. A conceptual framework, whose goal is the improvement of efficiency of machine learning, is presented. The framework is designed in a broader context of problem solver (P...
Jindrich Bucha