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NIPS
2000
13 years 9 months ago
Discovering Hidden Variables: A Structure-Based Approach
A serious problem in learning probabilistic models is the presence of hidden variables. These variables are not observed, yet interact with several of the observed variables. As s...
Gal Elidan, Noam Lotner, Nir Friedman, Daphne Koll...
SIROCCO
2000
13 years 9 months ago
Cooperative computing with fragmentable and mergeable groups
ABSTRACT: This work considers the problem of performing a set of N tasks on a set of P cooperating message-passing processors (P N). The processors use a group communication servi...
Chryssis Georgiou, Alexander A. Shvartsman
DATE
2010
IEEE
154views Hardware» more  DATE 2010»
13 years 9 months ago
Computing robustness of FlexRay schedules to uncertainties in design parameters
Abstract--In the current environment of rapidly changing invehicle requirements and ever-increasing functional content for automotive EE systems, there are several sources of uncer...
Arkadeb Ghosal, Haibo Zeng, Marco Di Natale, Yakov...
DAIS
2009
13 years 9 months ago
Fault-Tolerant Aggregation by Flow Updating
Data aggregation plays an important role in the design of scalable systems, allowing the determination of meaningful system-wide properties to direct the execution of distributed a...
Paulo Jesus, Carlos Baquero, Paulo Sérgio A...
ICA
2010
Springer
13 years 9 months ago
Use of Prior Knowledge in a Non-Gaussian Method for Learning Linear Structural Equation Models
Abstract. We discuss causal structure learning based on linear structural equation models. Conventional learning methods most often assume Gaussianity and create many indistinguish...
Takanori Inazumi, Shohei Shimizu, Takashi Washio