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» Computing LTS Regression for Large Data Sets
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KDD
2009
ACM
191views Data Mining» more  KDD 2009»
15 years 10 months ago
Efficient methods for topic model inference on streaming document collections
Topic models provide a powerful tool for analyzing large text collections by representing high dimensional data in a low dimensional subspace. Fitting a topic model given a set of...
Limin Yao, David M. Mimno, Andrew McCallum
101
Voted
KR
2010
Springer
15 years 2 months ago
Worst-Case Optimal Reasoning for the Horn-DL Fragments of OWL 1 and 2
Horn fragments of Description Logics (DLs) have gained popularity because they provide a beneficial trade-off between expressive power and computational complexity and, more spec...
Magdalena Ortiz, Sebastian Rudolph, Mantas Simkus
PKDD
2010
Springer
235views Data Mining» more  PKDD 2010»
14 years 7 months ago
Online Structural Graph Clustering Using Frequent Subgraph Mining
The goal of graph clustering is to partition objects in a graph database into different clusters based on various criteria such as vertex connectivity, neighborhood similarity or t...
Madeleine Seeland, Tobias Girschick, Fabian Buchwa...
NAR
2011
223views Computer Vision» more  NAR 2011»
14 years 16 days ago
ODB: a database for operon organizations, 2011 update
ODB (Operon DataBase) aims to collect data of all known and conserved operons in completely sequenced genomes. Three newly updated features of this database have been added as fol...
Shujiro Okuda, Akiyasu C. Yoshizawa
109
Voted
ASIAN
2004
Springer
180views Algorithms» more  ASIAN 2004»
15 years 3 months ago
Counting by Coin Tossings
Abstract. This text is an informal review of several randomized algorithms that have appeared over the past two decades and have proved instrumental in extracting efficiently quant...
Philippe Flajolet