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» A fuzzy approach to automatic data locality optimization
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DATAMINE
2008
143views more  DATAMINE 2008»
14 years 9 months ago
Automatically countering imbalance and its empirical relationship to cost
Learning from imbalanced datasets presents a convoluted problem both from the modeling and cost standpoints. In particular, when a class is of great interest but occurs relatively...
Nitesh V. Chawla, David A. Cieslak, Lawrence O. Ha...
KDD
2010
ACM
249views Data Mining» more  KDD 2010»
14 years 11 months ago
Semi-supervised sparse metric learning using alternating linearization optimization
In plenty of scenarios, data can be represented as vectors mathematically abstracted as points in a Euclidean space. Because a great number of machine learning and data mining app...
Wei Liu, Shiqian Ma, Dacheng Tao, Jianzhuang Liu, ...
AAAI
2008
15 years 3 days ago
Adaptive Importance Sampling with Automatic Model Selection in Value Function Approximation
Off-policy reinforcement learning is aimed at efficiently reusing data samples gathered in the past, which is an essential problem for physically grounded AI as experiments are us...
Hirotaka Hachiya, Takayuki Akiyama, Masashi Sugiya...
CVPR
2012
IEEE
13 years 6 days ago
3D landmark model discovery from a registered set of organic shapes
We present a machine learning framework that automatically generates a model set of landmarks for some class of registered 3D objects: here we use human faces. The aim is to repla...
Clement Creusot, Nick Pears, Jim Austin
BMCBI
2010
102views more  BMCBI 2010»
14 years 10 months ago
SAMPLEX: Automatic mapping of perturbed and unperturbed regions of proteins and complexes
Background: The activity of proteins within the cell is characterized by their motions, flexibility, interactions or even the particularly intriguing case of partially unfolded st...
Mickaël Krzeminski, Karine Loth, Rolf Boelens...