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JMLR
2012
13 years 9 months ago
Gaussian Processes for time-marked time-series data
In many settings, data is collected as multiple time series, where each recorded time series is an observation of some underlying dynamical process of interest. These observations...
John Cunningham, Zoubin Ghahramani, Carl Edward Ra...
ADMA
2006
Springer
121views Data Mining» more  ADMA 2006»
16 years 16 days ago
A New Polynomial Time Algorithm for Bayesian Network Structure Learning
We propose a new algorithm called SCD for learning the structure of a Bayesian network. The algorithm is a kind of constraintbased algorithm. By taking advantage of variable orderi...
Sanghack Lee, Jihoon Yang, Sungyong Park
VLSID
2001
IEEE
164views VLSI» more  VLSID 2001»
16 years 7 months ago
An Efficient Parallel Transparent Bist Method For Multiple Embedded Memory Buffers
In this paper, we propose a new transparent built-in self-test ( TBIST ) method to test multiple embedded memory arrays with various sizes in parallel. First, a new transparent tes...
Der-Cheng Huang, Wen-Ben Jone, Sunil R. Das
ENTCS
2006
119views more  ENTCS 2006»
15 years 6 months ago
Trace Machines for Observing Continuous-Time Markov Chains
In this paper, we study several linear-time equivalences (Markovian trace equivalence, failure and ready trace equivalence) for continuous-time Markov chains that refer to the pro...
Verena Wolf, Christel Baier, Mila E. Majster-Ceder...
ICDAR
2009
IEEE
16 years 1 months ago
Combination of Measurement-Level Classifiers: Output Normalization by Dynamic Time Warping
Classifier combination is a powerful strategy to support useful solutions in difficult classification problems. Notwithstanding, the effectiveness of a multi-classifier system str...
Giuseppe Pirlo, Donato Impedovo, Claudia Adamita T...