4541 search results - page 435 / 909 » Cache-Oblivious Algorithms and Data Structures |
257
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SCHOLARPEDIA
2008
15 years 6 months ago
2008
We present a novel method for clustering using the support vector machine approach. Data points are mapped to a high dimensional feature space, where support vectors are used to d...
226
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NIPS
1998
15 years 9 months ago
1998
Inference is a key component in learning probabilistic models from partially observable data. When learning temporal models, each of the many inference phases requires a complete ...
230
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KDD
2012
ACM
13 years 10 months ago
2012
ACM
Non-negative matrix factorization (NMF) provides a lower rank approximation of a matrix. Due to nonnegativity imposed on the factors, it gives a latent structure that is often mor...
191
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KDD
2004
ACM
16 years 8 months ago
2004
ACM
There is a notable interest in extending probabilistic generative modeling principles to accommodate for more complex structured data types. In this paper we develop a generative ...
193
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IEEESCC
2008
IEEE
16 years 2 months ago
2008
IEEE
Interpreting legacy XML documents is a great challenge for realizing the vision of the Semantic Web (SW). This paper presents an algorithm to transform XML data into RDF- foundati...