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ESANN
2008
15 years 8 months ago
Safe exploration for reinforcement learning
In this paper we define and address the problem of safe exploration in the context of reinforcement learning. Our notion of safety is concerned with states or transitions that can ...
Alexander Hans, Daniel Schneegaß, Anton Maxi...
ACL
2003
15 years 8 months ago
Unsupervised Learning of Dependency Structure for Language Modeling
This paper presents a dependency language model (DLM) that captures linguistic constraints via a dependency structure, i.e., a set of probabilistic dependencies that express the r...
Jianfeng Gao, Hisami Suzuki
ESANN
2003
15 years 8 months ago
Developmental pruning of synapses and category learning
After an initial peak, the number of synapses in mammalian cerebral cortex decreases in the formative period and throughout adult life. However, if synapses are taken to reflect ci...
Roberto Viviani, Manfred Spitzer
NIPS
2004
15 years 8 months ago
Nonparametric Transforms of Graph Kernels for Semi-Supervised Learning
We present an algorithm based on convex optimization for constructing kernels for semi-supervised learning. The kernel matrices are derived from the spectral decomposition of grap...
Xiaojin Zhu, Jaz S. Kandola, Zoubin Ghahramani, Jo...
UAI
2004
15 years 8 months ago
The Minimum Information Principle for Discriminative Learning
Exponential models of distributions are widely used in machine learning for classification and modelling. It is well known that they can be interpreted as maximum entropy models u...
Amir Globerson, Naftali Tishby