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IJCAI
2007
14 years 11 months ago
Compiling Bayesian Networks Using Variable Elimination
Compiling Bayesian networks has proven an effective approach for inference that can utilize both global and local network structure. In this paper, we define a new method of comp...
Mark Chavira, Adnan Darwiche
82
Voted
MKWI
2008
150views Business» more  MKWI 2008»
14 years 11 months ago
A Reference Model for Seamless Cross-Organizational Collaboration in the Public Sector
: Today, electronic cross-company collaboration is about to gain significant momentum, but still shows weaknesses with respect to productivity, flexibility and quality: A lack of s...
Christoph Schroth
NIPS
2008
14 years 11 months ago
Asynchronous Distributed Learning of Topic Models
Distributed learning is a problem of fundamental interest in machine learning and cognitive science. In this paper, we present asynchronous distributed learning algorithms for two...
Arthur Asuncion, Padhraic Smyth, Max Welling
98
Voted
SDM
2008
SIAM
119views Data Mining» more  SDM 2008»
14 years 11 months ago
An Efficient Local Algorithm for Distributed Multivariate Regression in Peer-to-Peer Networks
This paper offers a local distributed algorithm for multivariate regression in large peer-to-peer environments. The algorithm is designed for distributed inferencing, data compact...
Kanishka Bhaduri, Hillol Kargupta
RSS
2007
158views Robotics» more  RSS 2007»
14 years 11 months ago
Vision-Aided Inertial Navigation for Precise Planetary Landing: Analysis and Experiments
Abstract—In this paper, we present the analysis and experimental validation of a vision-aided inertial navigation algorithm for planetary landing applications. The system employs...
Anastasios I. Mourikis, Nikolas Trawny, Stergios I...