266 search results - page 18 / 54 » A Demonstration of Neural Programming Applied to Non-Markovi... |
JMLR
2012
11 years 11 months ago
2012
We study a generalized framework for structured sparsity. It extends the well known methods of Lasso and Group Lasso by incorporating additional constraints on the variables as pa...
NIPS
2008
13 years 10 months ago
2008
Neural activity is non-stationary and varies across time. Hidden Markov Models (HMMs) have been used to track the state transition among quasi-stationary discrete neural states. W...
ICANN
2010
Springer
13 years 10 months ago
2010
Springer
Structural equation models have been widely used to study causal relationships between continuous variables. Recently, a non-Gaussian method called LiNGAM was proposed to discover ...
IJCNN
2008
IEEE
14 years 3 months ago
2008
IEEE
— In this paper we address the reliability of policies derived by Reinforcement Learning on a limited amount of observations. This can be done in a principled manner by taking in...
NHM
2010
13 years 3 months ago
2010
We introduce the coolest path problem, which is a mixture of two well-known problems from distinct mathematical fields. One of them is the shortest path problem from combinatorial ...