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» On Learning Limiting Programs
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ICML
2009
IEEE
16 years 3 months ago
The adaptive k-meteorologists problem and its application to structure learning and feature selection in reinforcement learning
The purpose of this paper is three-fold. First, we formalize and study a problem of learning probabilistic concepts in the recently proposed KWIK framework. We give details of an ...
Carlos Diuk, Lihong Li, Bethany R. Leffler
TAMC
2007
Springer
15 years 8 months ago
A Characterization of the Language Classes Learnable with Correction Queries
Abstract. Formal language learning models have been widely investigated in the last four decades. But it was not until recently that the model of learning from corrections was intr...
Cristina Tîrnauca, Satoshi Kobayashi
ICALT
2006
IEEE
15 years 8 months ago
A Navigation Interface for Adaptive m-Learning Applications
Some researches have used concept maps to support navigation in m-Learning applications. Nevertheless, as this navigation support is not very flexible, adaptation to learner chara...
Laércio Sambüc dos Anjos, José ...
IEICET
2007
68views more  IEICET 2007»
15 years 2 months ago
Generalization Error Estimation for Non-linear Learning Methods
Estimating the generalization error is one of the key ingredients of supervised learning since a good generalization error estimator can be used for model selection. An unbiased g...
Masashi Sugiyama
KAIS
2010
80views more  KAIS 2010»
15 years 26 days ago
Semi-supervised learning by disagreement
In many real-world tasks there are abundant unlabeled examples but the number of labeled training examples is limited, because labeling the examples requires human efforts and exp...
Zhi-Hua Zhou, Ming Li