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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
ICDM
2009
IEEE
137views Data Mining» more  ICDM 2009»
16 years 1 months ago
A Local Scalable Distributed Expectation Maximization Algorithm for Large Peer-to-Peer Networks
This paper offers a local distributed algorithm for expectation maximization in large peer-to-peer environments. The algorithm can be used for a variety of well-known data mining...
Kanishka Bhaduri, Ashok N. Srivastava
ICCAD
1997
IEEE
121views Hardware» more  ICCAD 1997»
15 years 10 months ago
Adaptive methods for netlist partitioning
An algorithm that remains in use at the core of many partitioning systems is the Kernighan-Lin algorithm and a variant the Fidducia-Matheysses (FM) algorithm. To understand the FM...
Wray L. Buntine, Lixin Su, A. Richard Newton, Andr...
ISMDA
2005
Springer
15 years 12 months ago
Extracting Molecular Diversity Between Populations Through Sequence Alignments
The use of sequence alignments for establishing protein homology relationships has an extensive tradition in the field of bioinformatics, and there is an increasing desire for more...
Steinar Thorvaldsen, Tor Flå, Nils Willassen
GECCO
2006
Springer
132views Optimization» more  GECCO 2006»
15 years 10 months ago
A neural evolutionary approach to financial modeling
This paper presents an approach to the joint optimization of neural network structure and weights which can take advantage of backpropagation as a specialized decoder. The approac...
Antonia Azzini, Andrea Tettamanzi