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» Generalization Improvement in Multi-Objective Learning
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73
Voted
HT
2003
ACM
15 years 5 months ago
Is simple sequencing simple adaptive hypermedia?
In this paper, we explore the differences between the Adaptive Hypermedia and IMS Simple Sequencing approaches. Both approaches provide learning material tailored for the learnerâ...
Nor Aniza Abdullah, Hugh C. Davis
NIPS
2007
15 years 1 months ago
On higher-order perceptron algorithms
A new algorithm for on-line learning linear-threshold functions is proposed which efï¬ciently combines second-order statistics about the data with the â€logarithmic behavior†...
Claudio Gentile, Fabio Vitale, Cristian Brotto
86
Voted
NIPS
2007
15 years 1 months ago
Bayesian Co-Training
We propose a Bayesian undirected graphical model for co-training, or more generally for semi-supervised multi-view learning. This makes explicit the previously unstated assumption...
Shipeng Yu, Balaji Krishnapuram, Rómer Rosa...
57
Voted
ICML
2010
IEEE
15 years 1 months ago
Internal Rewards Mitigate Agent Boundedness
Abstract--Reinforcement learning (RL) research typically develops algorithms for helping an RL agent best achieve its goals-however they came to be defined--while ignoring the rela...
Jonathan Sorg, Satinder P. Singh, Richard Lewis
95
Voted
NCA
2010
IEEE
14 years 11 months ago
Genetic algorithm-based training for semi-supervised SVM
The Support Vector Machine (SVM) is an interesting classiï¬er with excellent power of generalization. In this paper, we consider applying the SVM to semi-supervised learning. We p...
Mathias M. Adankon, Mohamed Cheriet