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ICML
2008
IEEE
16 years 7 months ago
Memory bounded inference in topic models
What type of algorithms and statistical techniques support learning from very large datasets over long stretches of time? We address this question through a memory bounded version...
Ryan Gomes, Max Welling, Pietro Perona
DEXAW
2007
IEEE
116views Database» more  DEXAW 2007»
16 years 1 months ago
Regression Relevance Models for Data Fusion
Data fusion has been investigated by many researchers in the information retrieval community and has become an effective technique for improving retrieval effectiveness. In this p...
Shengli Wu, Yaxin Bi, Sally I. McClean
JCC
2007
69views more  JCC 2007»
15 years 6 months ago
Discrimination of dynamical system models for biological and chemical processes
In technical chemistry, systems biology and biotechnology, the construction of predictive models has become an essential step in process design and product optimization. Accurate ...
Sönke Lorenz, Elmar Diederichs, Regina Telgma...
FSS
2007
116views more  FSS 2007»
15 years 6 months ago
Smooth transition autoregressive models and fuzzy rule-based systems: Functional equivalence and consequences
In this work we will explore the theoretical connections existing between fuzzy rule-based systems (FRBS) applied on univariate time series and two statistical reference tools, th...
José Luis Aznarte, José Manuel Ben&i...
ECCV
2000
Springer
16 years 8 months ago
Unsupervised Learning of Models for Recognition
We present a method to learn object class models from unlabeled and unsegmented cluttered scenes for the purpose of visual object recognition. We focus on a particular type of mode...
Markus Weber, Max Welling, Pietro Perona