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» Mining functional dependencies from data
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CIKM
2006
Springer
14 years 1 months ago
Topic evolution and social interactions: how authors effect research
We propose a method for discovering the dependency relationships between the topics of documents shared in social networks using the latent social interactions, attempting to answ...
Ding Zhou, Xiang Ji, Hongyuan Zha, C. Lee Giles
KDD
2004
ACM
166views Data Mining» more  KDD 2004»
14 years 10 months ago
Predicting prostate cancer recurrence via maximizing the concordance index
In order to effectively use machine learning algorithms, e.g., neural networks, for the analysis of survival data, the correct treatment of censored data is crucial. The concordan...
Lian Yan, David Verbel, Olivier Saidi
ICCSA
2004
Springer
14 years 3 months ago
High Throughput in-silico Screening against Flexible Protein Receptors
We report results for the in-silico screening of a database of 10000 flexible compounds against various crystal structures of the thymidine kinase receptor complexed with 10 know...
Holger Merlitz, Wolfgang Wenzel
BIOSYSTEMS
2007
72views more  BIOSYSTEMS 2007»
13 years 10 months ago
Parameter-free testing of the shape of a probability distribution
The Kolmogorov–Smirnov test determines the consistency of empirical data with a particular probability distribution. Often, parameters in the distribution are unknown, and have ...
M. Broom, P. Nouvellet, J. P. Bacon, D. Waxman
PKDD
2010
Springer
164views Data Mining» more  PKDD 2010»
13 years 8 months ago
Complexity Bounds for Batch Active Learning in Classification
Active learning [1] is a branch of Machine Learning in which the learning algorithm, instead of being directly provided with pairs of problem instances and their solutions (their l...
Philippe Rolet, Olivier Teytaud