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SAC
2006
ACM
14 years 3 months ago
The impact of sample reduction on PCA-based feature extraction for supervised learning
“The curse of dimensionality” is pertinent to many learning algorithms, and it denotes the drastic raise of computational complexity and classification error in high dimension...
Mykola Pechenizkiy, Seppo Puuronen, Alexey Tsymbal
DIS
2008
Springer
13 years 11 months ago
Active Learning for High Throughput Screening
Abstract. An important task in many scientific and engineering disciplines is to set up experiments with the goal of finding the best instances (substances, compositions, designs) ...
Kurt De Grave, Jan Ramon, Luc De Raedt
JCAMD
2010
92views more  JCAMD 2010»
13 years 4 months ago
Ligand docking and binding site analysis with PyMOL and Autodock/Vina
Docking of small molecule compounds into the binding site of a receptor and estimating the binding affinity of the complex is an important part of the structurebased drug design pr...
Daniel Seeliger, Bert L. de Groot
ICDE
2008
IEEE
130views Database» more  ICDE 2008»
14 years 11 months ago
A Sampling-Based Approach to Information Recovery
There has been a recent resurgence of interest in research on noisy and incomplete data. Many applications require information to be recovered from such data. For example, in sens...
Junyi Xie, Jun Yang 0001, Yuguo Chen, Haixun Wang,...
JMLR
2010
184views more  JMLR 2010»
13 years 4 months ago
Sequential Monte Carlo Samplers for Dirichlet Process Mixtures
In this paper, we develop a novel online algorithm based on the Sequential Monte Carlo (SMC) samplers framework for posterior inference in Dirichlet Process Mixtures (DPM) (DelMor...
Yener Ülker, Bilge Günsel, Ali Taylan Ce...