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ICML
2009
IEEE
16 years 7 months ago
Learning structurally consistent undirected probabilistic graphical models
In many real-world domains, undirected graphical models such as Markov random fields provide a more natural representation of the dependency structure than directed graphical mode...
Sushmita Roy, Terran Lane, Margaret Werner-Washbur...
PLDI
2009
ACM
16 years 1 months ago
Programming model for a heterogeneous x86 platform
The client computing platform is moving towards a heterogeneous architecture consisting of a combination of cores focused on scalar performance, and a set of throughput-oriented c...
Bratin Saha, Xiaocheng Zhou, Hu Chen, Ying Gao, Sh...
ICASSP
2009
IEEE
16 years 1 months ago
A mixed time-scale algorithm for distributed parameter estimation : Nonlinear observation models and imperfect communication
Abstract— The paper considers the algorithm NLU for distributed (vector) parameter estimation in sensor networks, where, the local observation models are nonlinear, and inter-sen...
Soummya Kar, José M. F. Moura
BPM
2009
Springer
119views Business» more  BPM 2009»
16 years 1 months ago
A Formal Model for Process Context Learning
Process models are considered to be a major asset in modern business organizations. They are expected to apply to all the possible business contexts in which the process may be exe...
Johny Ghattas, Pnina Soffer, Mor Peleg
CLUSTER
2009
IEEE
15 years 10 months ago
Analytical modeling and optimization for affinity based thread scheduling on multicore systems
Abstract--This paper proposes an analytical model to estimate the cost of running an affinity-based thread schedule on multicore systems. The model consists of three submodels to e...
Fengguang Song, Shirley Moore, Jack Dongarra