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ECML
2007
Springer
16 years 25 days ago
Principal Component Analysis for Large Scale Problems with Lots of Missing Values
Abstract. Principal component analysis (PCA) is a well-known classical data analysis technique. There are a number of algorithms for solving the problem, some scaling better than o...
Tapani Raiko, Alexander Ilin, Juha Karhunen
ICIC
2007
Springer
16 years 24 days ago
Evolutionary Ensemble for In Silico Prediction of Ames Test Mutagenicity
Driven by new regulations and animal welfare, the need to develop in silico models has increased recently as alternative approaches to safety assessment of chemicals without animal...
Huanhuan Chen, Xin Yao
CIKM
2005
Springer
16 years 6 days ago
A hybrid approach to NER by MEMM and manual rules
This paper describes a framework for defining domain specific Feature Functions in a user friendly form to be used in a Maximum Entropy Markov Model (MEMM) for the Named Entity Re...
Moshe Fresko, Binyamin Rosenfeld, Ronen Feldman
CSCWD
2005
Springer
16 years 6 days ago
Internet-Based E-Learning Workflow Process
More and more people are interested in Internet-based e-learning. Internet-based e-learning has become one very important arena of modern education system. This paper is based our ...
Jianming Yong
GECCO
2005
Springer
153views Optimization» more  GECCO 2005»
16 years 5 days ago
Evolving neural network ensembles for control problems
In neuroevolution, a genetic algorithm is used to evolve a neural network to perform a particular task. The standard approach is to evolve a population over a number of generation...
David Pardoe, Michael S. Ryoo, Risto Miikkulainen