3694 search results - page 120 / 739 » Stochastic complexity in learning |
JMLR
2010
13 years 5 months ago
2010
In this paper we integrate two essential processes, discretization of continuous data and learning of a model that explains them, towards fully computational machine learning from...
NIPS
2008
13 years 11 months ago
2008
In this paper we aim to train deep neural networks for rapid visual recognition. The task is highly challenging, largely due to the lack of a meaningful regularizer on the functio...
AAAI
2008
14 years 14 days ago
2008
This paper examines, by argument, the dynamics of sequences of behavioural choices made, when non-cooperative restricted-memory agents learn in partially observable stochastic gam...
IJCAI
2007
13 years 11 months ago
2007
Deictic representation is a representational paradigm, based on selective attention and pointers, that allows an agent to learn and reason about rich complex environments. In this...
ISBI
2008
IEEE
14 years 4 months ago
2008
IEEE
A stratification and manifold learning approach for analyzing High Angular Resolution Diffusion Imaging (HARDI) data is introduced in this paper. HARDI data provides highdimensio...