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» Data structures with dynamical random transitions
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ICML
2006
IEEE
14 years 9 months ago
A new approach to data driven clustering
We consider the problem of clustering in its most basic form where only a local metric on the data space is given. No parametric statistical model is assumed, and the number of cl...
Arik Azran, Zoubin Ghahramani
NIPS
1998
13 years 10 months ago
An Entropic Estimator for Structure Discovery
We introduce a novel framework for simultaneous structure and parameter learning in hidden-variable conditional probability models, based on an entropic prior and a solution for i...
Matthew Brand
ISAAC
2007
Springer
118views Algorithms» more  ISAAC 2007»
14 years 2 months ago
Dynamic Structures for Top- k Queries on Uncertain Data
In an uncertain data set S = (S, p, f) where S is the ground set consisting of n elements, p : S → [0, 1] a probability function, and f : S → R a score function, each element i...
Jiang Chen, Ke Yi
BMCBI
2007
99views more  BMCBI 2007»
13 years 8 months ago
Identifying allosteric fluctuation transitions between different protein conformational states as applied to Cyclin Dependent Ki
Background: The mechanisms underlying protein function and associated conformational change are dominated by a series of local entropy fluctuations affecting the global structure ...
Jenny Gu, Philip E. Bourne
SSD
2005
Springer
185views Database» more  SSD 2005»
14 years 2 months ago
Evaluation of a Dynamic Tree Structure for Indexing Query Regions on Streaming Geospatial Data
Most recent research on querying and managing data streams has concentrated on traditional data models where the data come in the form of tuples or XML data. Complex types of strea...
Quinn Hart, Michael Gertz, Jie Zhang