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ICML
2009
IEEE
16 years 4 months ago
Structure learning of Bayesian networks using constraints
This paper addresses exact learning of Bayesian network structure from data and expert's knowledge based on score functions that are decomposable. First, it describes useful ...
Cassio Polpo de Campos, Zhi Zeng, Qiang Ji
ICALP
2009
Springer
15 years 10 months ago
Assigning Papers to Referees
Refereed conferences require every submission to be reviewed by members of a program committee (PC) in charge of selecting the conference program. There are many software packages...
Kurt Mehlhorn
GLOBECOM
2007
IEEE
15 years 10 months ago
Joint Computation and Communication Scheduling to Enable Rich Mobile Applications
Abstract—Increasing interest in sensor networking and ubiquitous computing has created a trend towards embedding more and more intelligence into our surroundings. This enables th...
Shoubhik Mukhopadhyay, Curt Schurgers, Sujit Dey
121
Voted
ICRA
2007
IEEE
126views Robotics» more  ICRA 2007»
15 years 10 months ago
A formal framework for robot learning and control under model uncertainty
— While the Partially Observable Markov Decision Process (POMDP) provides a formal framework for the problem of robot control under uncertainty, it typically assumes a known and ...
Robin Jaulmes, Joelle Pineau, Doina Precup
IROS
2007
IEEE
159views Robotics» more  IROS 2007»
15 years 10 months ago
Approximate covariance estimation in graphical approaches to SLAM
— Smoothing and optimization approaches are an effective means for solving the simultaneous localization and mapping (SLAM) problem. Most of the existing techniques focus mainly ...
Gian Diego Tipaldi, Giorgio Grisetti, Wolfram Burg...