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152
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NIPS
2007
15 years 7 months ago
Learning the structure of manifolds using random projections
We present a simple variant of the k-d tree which automatically adapts to intrinsic low dimensional structure in data.
Yoav Freund, Sanjoy Dasgupta, Mayank Kabra, Nakul ...
ECML
2006
Springer
15 years 10 months ago
Margin-Based Active Learning for Structured Output Spaces
In many complex machine learning applications there is a need to learn multiple interdependent output variables, where knowledge of these interdependencies can be exploited to impr...
Dan Roth, Kevin Small
KDD
2006
ACM
146views Data Mining» more  KDD 2006»
16 years 6 months ago
Structure and evolution of online social networks
In this paper, we consider the evolution of structure within large online social networks. We present a series of measurements of two such networks, together comprising in excess ...
Ravi Kumar, Jasmine Novak, Andrew Tomkins
188
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CBMS
2009
IEEE
16 years 1 months ago
On the storage, management and analysis of (multi) similarity for large scale protein structure datasets in the grid
Assessment of the (Multi) Similarity among a set of protein structures is achieved through an ensemble of protein structure comparison methods/algorithms. This leads to the genera...
Gianluigi Folino, Azhar Ali Shah, Natalio Krasnogo...
ECML
1997
Springer
15 years 10 months ago
Parallel and Distributed Search for Structure in Multivariate Time Series
Abstract. E cient data mining algorithms are crucial fore ective knowledge discovery. We present the Multi-Stream Dependency Detection (msdd) data mining algorithm that performs a ...
Tim Oates, Matthew D. Schmill, Paul R. Cohen