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108
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CP
2010
Springer
15 years 1 months ago
An Empirical Study of Optimization for Maximizing Diffusion in Networks
Abstract. We study the problem of maximizing the amount of stochastic diffusion in a network by acquiring nodes within a certain limited budget. We use a Sample Average Approximati...
Kiyan Ahmadizadeh, Bistra N. Dilkina, Carla P. Gom...
DAGM
2009
Springer
15 years 1 months ago
HMM-Based Defect Localization in Wire Ropes - A New Approach to Unusual Subsequence Recognition
Abstract. Automatic visual inspection has become an important application of pattern recognition, as it supports the human in this demanding and often dangerous work. Nevertheless,...
Esther-Sabrina Platzer, Josef Nägele, Karl-He...
119
Voted
FAST
2009
15 years 1 months ago
Dynamic Resource Allocation for Database Servers Running on Virtual Storage
We introduce a novel multi-resource allocator to dynamically allocate resources for database servers running on virtual storage. Multi-resource allocation involves proportioning t...
Gokul Soundararajan, Daniel Lupei, Saeed Ghanbari,...
311
Voted
BICA
2010
14 years 10 months ago
Application Feedback in Guiding a Deep-Layered Perception Model
Deep-layer machine learning architectures continue to emerge as a promising biologically-inspired framework for achieving scalable perception in artificial agents. State inference ...
Itamar Arel, Shay Berant
155
Voted
JMLR
2010
140views more  JMLR 2010»
14 years 10 months ago
Learning Non-Stationary Dynamic Bayesian Networks
Learning dynamic Bayesian network structures provides a principled mechanism for identifying conditional dependencies in time-series data. An important assumption of traditional D...
Joshua W. Robinson, Alexander J. Hartemink