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CSR
2011
Springer
12 years 10 months ago
The Complexity of Inversion of Explicit Goldreich's Function by DPLL Algorithms
The Goldreich’s function has n binary inputs and n binary outputs. Every output depends on d inputs and is computed from them by the fixed predicate of arity d. Every Goldreich...
Dmitry Itsykson, Dmitry Sokolov
SRDS
2010
IEEE
13 years 4 months ago
Shedding Light on Enterprise Network Failures Using Spotlight
Abstract--Fault localization in enterprise networks is extremely challenging. A recent approach called Sherlock makes some headway into this problem by using an inference algorithm...
Dipu John, Pawan Prakash, Ramana Rao Kompella, Ran...
CORR
2007
Springer
87views Education» more  CORR 2007»
13 years 6 months ago
Detection of Gauss-Markov Random Fields with Nearest-Neighbor Dependency
Abstract—The problem of hypothesis testing against independence for a Gauss–Markov random field (GMRF) is analyzed. Assuming an acyclic dependency graph, an expression for the...
Animashree Anandkumar, Lang Tong, Ananthram Swami
DIAGRAMS
2008
Springer
13 years 8 months ago
Supporting Reasoning and Problem-Solving in Mathematical Generalisation with Dependency Graphs
Abstract. We present a brief description of the design of a diagrambased system that supports the development of thinking about mathematical generalisation. Within the software, th...
Sergio Gutiérrez Santos, Darren Pearce, Eir...
CISS
2007
IEEE
13 years 10 months ago
Energy Efficient Routing for Statistical Inference of Markov Random Fields
The problem of routing of sensor observations for optimal detection of a Markov random field (MRF) at a designated fusion center is analyzed. Assuming that the correlation structur...
Animashree Anandkumar, Lang Tong, Ananthram Swami
LOPSTR
2007
Springer
14 years 20 days ago
Termination Analysis of Logic Programs Based on Dependency Graphs
This paper introduces a modular framework for termination analysis of logic programming. To this end, we adapt the notions of dependency pairs and dependency graphs (which were dev...
Manh Thang Nguyen, Jürgen Giesl, Peter Schnei...
INFOCOM
2009
IEEE
14 years 1 months ago
Prize-Collecting Data Fusion for Cost-Performance Tradeoff in Distributed Inference
—A novel formulation for optimal sensor selection and in-network fusion for distributed inference known as the prizecollecting data fusion (PCDF) is proposed in terms of optimal ...
Animashree Anandkumar, Meng Wang, Lang Tong, Anant...