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CORR
2010
Springer
168views Education» more  CORR 2010»
14 years 8 months ago
Gaussian Process Structural Equation Models with Latent Variables
In a variety of disciplines such as social sciences, psychology, medicine and economics, the recorded data are considered to be noisy measurements of latent variables connected by...
Ricardo Silva
NIPS
2004
14 years 11 months ago
Supervised Graph Inference
We formulate the problem of graph inference where part of the graph is known as a supervised learning problem, and propose an algorithm to solve it. The method involves the learni...
Jean-Philippe Vert, Yoshihiro Yamanishi
CORR
2008
Springer
104views Education» more  CORR 2008»
14 years 10 months ago
A Variational Inference Framework for Soft-In-Soft-Out Detection in Multiple Access Channels
We propose a unified framework for deriving and studying soft-in soft-out (SISO) detection in multiple-access channels using the concept of variational inference. The proposed fram...
Darryl Dexu Lin, Teng Joon Lim
ICMLA
2007
14 years 11 months ago
Learning bayesian networks consistent with the optimal branching
We introduce a polynomial-time algorithm to learn Bayesian networks whose structure is restricted to nodes with in-degree at most k and to edges consistent with the optimal branch...
Alexandra M. Carvalho, Arlindo L. Oliveira
CORR
2010
Springer
175views Education» more  CORR 2010»
14 years 10 months ago
Optimal Packet Scheduling in an Energy Harvesting Communication System
We consider the optimal packet scheduling problem in a single-user energy harvesting wireless communication system. In this system, both the data packets and the harvested energy ...
Jing Yang, Sennur Ulukus