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NIPS
2003
15 years 8 months ago
Extreme Components Analysis
Principal components analysis (PCA) is one of the most widely used techniques in machine learning and data mining. Minor components analysis (MCA) is less well known, but can also...
Max Welling, Felix V. Agakov, Christopher K. I. Wi...
OAS
2003
15 years 8 months ago
Experiences with Ontology Development for Value-Added Publishing
This paper presents our practical experience of developing an ontology using the EXPLODE method for Value-Added Publishing. Value-Added Publishing is a relatively new area of elec...
Maia Hristozova, Leon Sterling
OPODIS
2003
15 years 8 months ago
Emulating Shared-Memory Do-All Algorithms in Asynchronous Message-Passing Systems
A fundamental problem in distributed computing is performing a set despite failures and delays. Stated abstractly, the problem is to perform N tasks using P failure-prone processor...
Dariusz R. Kowalski, Mariam Momenzadeh, Alexander ...
OPODIS
2003
15 years 8 months ago
Transient Model for Jackson Networks and Its Approximation
Jackson networks have been very successful in so many areas in modeling parallel and distributed systems. However, the ability of Jackson networks to predict performance with syste...
Ahmed M. Mohamed, Lester Lipsky, Reda A. Ammar
SDM
2003
SIAM
129views Data Mining» more  SDM 2003»
15 years 8 months ago
Approximate Query Answering by Model Averaging
In earlier work we have introduced and explored a variety of different probabilistic models for the problem of answering selectivity queries posed to large sparse binary data set...
Dmitry Pavlov, Padhraic Smyth
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