4541 search results - page 323 / 909 » Cache-Oblivious Algorithms and Data Structures |
148
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NIPS
2008
15 years 5 months ago
2008
Abstract: Structure learning of dynamic Bayesian networks provide a principled mechanism for identifying conditional dependencies in time-series data. This learning procedure assum...
175
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PAMI
2011
14 years 11 months ago
2011
—Inferring latent structures from observations helps to model and possibly also understand underlying data generating processes. A rich class of latent structures are the latent ...
146
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TMA
2010
Springer
15 years 1 months ago
2010
Springer
One-way packet delay is an important network performance metric. Recently, a new data structure called Lossy Difference Aggregator (LDA) has been proposed to estimate this metric m...
114
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SIGMOD
2001
ACM
16 years 4 months ago
2001
ACM
An -appro ximate quantile summary of a sequence of N elements is a data structure that can answer quantile queries about the sequence to within a precision of N. We presen t a new...
136
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ICPR
2008
IEEE
15 years 10 months ago
2008
IEEE
For a finite set of points lying on a lower dimensional manifold embedded in a high-dimensional data space, algorithms have been developed to study the manifold structure. Howeve...