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ICML
2008
IEEE
16 years 7 months ago
Apprenticeship learning using linear programming
In apprenticeship learning, the goal is to learn a policy in a Markov decision process that is at least as good as a policy demonstrated by an expert. The difficulty arises in tha...
Umar Syed, Michael H. Bowling, Robert E. Schapire
ICPR
2008
IEEE
16 years 18 days ago
Semi-supervised learning by locally linear embedding in kernel space
Graph based semi-supervised learning methods (SSL) implicitly assume that the intrinsic geometry of the data points can be fully specified by an Euclidean distance based local ne...
Rujie Liu, Yuehong Wang, Takayuki Baba, Daiki Masu...
ICC
2007
IEEE
134views Communications» more  ICC 2007»
16 years 15 days ago
Linear Cooperative Multiuser MIMO Transceiver Design with Per BS Power Constraints
— Joint cooperative processing of transmitted signal from several multiple-input multiple-output (MIMO) base station (BS) antenna heads is considered for users located within a s...
Antti Tölli, Marian Codreanu, Markku J. Juntt...
ECML
2007
Springer
16 years 10 days ago
Bayesian Inference for Sparse Generalized Linear Models
We present a framework for efficient, accurate approximate Bayesian inference in generalized linear models (GLMs), based on the expectation propagation (EP) technique. The paramete...
Matthias Seeger, Sebastian Gerwinn, Matthias Bethg...
HYBRID
2007
Springer
16 years 10 days ago
Sporadic Control of First-Order Linear Stochastic Systems
The standard approach in feedback control systems is to sample and control periodically. For some applications, such as networked control systems or severely energy-constrained sys...
Erik Johannesson, Toivo Henningsson, Anton Cervin