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» A Framework for the Simulation Experimentation Process
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NIPS
2000
15 years 7 months ago
Active Learning for Parameter Estimation in Bayesian Networks
Bayesian networks are graphical representations of probability distributions. In virtually all of the work on learning these networks, the assumption is that we are presented with...
Simon Tong, Daphne Koller
AUTOMATICA
2008
107views more  AUTOMATICA 2008»
15 years 6 months ago
Kalman filters in non-uniformly sampled multirate systems: For FDI and beyond
This paper consists of two parts. The first part is the development of a datadriven Kalman filter for a non-uniformly sampled multirate (NUSM) system, including identification of ...
Weihua Li, Sirish L. Shah, Deyun Xiao
IJDAR
2008
92views more  IJDAR 2008»
15 years 6 months ago
Optical recognition of psaltic Byzantine chant notation
Abstract This paper describes a document recognition system for the modern neume based notation of Byzantine music. We propose algorithms for page segmentation, lyrics removal, syn...
Christoph Dalitz, Georgios K. Michalakis, Christin...
FORMATS
2010
Springer
15 years 4 months ago
Natural Domain SMT: A Preliminary Assessment
SMT solvers have traditionally been based on the DPLL(T) algorithm, where the driving force behind the procedure is a DPLL search over truth valuations. This traditional framework ...
Scott Cotton
191
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AAAI
2011
14 years 6 months ago
Linear Dynamic Programs for Resource Management
Sustainable resource management in many domains presents large continuous stochastic optimization problems, which can often be modeled as Markov decision processes (MDPs). To solv...
Marek Petrik, Shlomo Zilberstein