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» Learning to learn with the informative vector machine
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ICML
2008
IEEE
16 years 7 months ago
Extracting and composing robust features with denoising autoencoders
Previous work has shown that the difficulties in learning deep generative or discriminative models can be overcome by an initial unsupervised learning step that maps inputs to use...
Pascal Vincent, Hugo Larochelle, Yoshua Bengio, Pi...
ECTEL
2008
Springer
15 years 8 months ago
A Goal-oriented Authoring Approach to Design, Share and Reuse Learning Scenarios
This paper presents our research works and our proposal : ISiS model (Intentions, Strategies, interactional Situations), a conceptual framework elaborated to structure the design o...
Valérie Emin
143
Voted
AGENTS
1998
Springer
15 years 10 months ago
A Multiagent Perspective of Parallel and Distributed Machine Learning
Parallel and distributed information processing systems play an increasingly important role in artificial intelligence and computer science. In this article an approach to learnin...
Gerhard Weiß
ICML
2007
IEEE
16 years 7 months ago
On learning with dissimilarity functions
We study the problem of learning a classification task in which only a dissimilarity function of the objects is accessible. That is, data are not represented by feature vectors bu...
Liwei Wang, Cheng Yang, Jufu Feng
SEAL
1998
Springer
15 years 10 months ago
Evolutionary Programming-Based Uni-vector Field Method for Fast Mobile Robot Navigation
Most of the obstacle avoidance techniques do not consider the robot orientation or its nal angle at the target position. These techniques deal with the robot position only and are ...
Yong-Jae Kim, Dong-Han Kim, Jong-Hwan Kim