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» Learning Distance Functions using Equivalence Relations
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ATAL
2011
Springer
13 years 9 months ago
Metric learning for reinforcement learning agents
A key component of any reinforcement learning algorithm is the underlying representation used by the agent. While reinforcement learning (RL) agents have typically relied on hand-...
Matthew E. Taylor, Brian Kulis, Fei Sha
EUROCOLT
1999
Springer
15 years 1 months ago
Learning Range Restricted Horn Expressions
We study the learnability of first order Horn expressions from equivalence and membership queries. We show that the class of expressions where every term in the consequent of a c...
Roni Khardon
75
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ICML
2006
IEEE
15 years 10 months ago
Learning a kernel function for classification with small training samples
When given a small sample, we show that classification with SVM can be considerably enhanced by using a kernel function learned from the training data prior to discrimination. Thi...
Tomer Hertz, Aharon Bar-Hillel, Daphna Weinshall
ESANN
2004
14 years 11 months ago
Dimensionality reduction and classification using the distribution mapping exponent
: Probability distribution mapping function, which maps multivariate data distribution to the function of one variable, is introduced. Distributionmapping exponent (DME) is somethi...
Marcel Jirina
W4A
2009
ACM
15 years 4 months ago
Virtual teaching in a society of learning
: This article relates a reflexion on the experience of authors as teachers in the E-learning modality of university-level teaching. Presently we live in the peak of the new techno...
António Eduardo Martins, Felipa lopes dos R...