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FOIKS
2008
Springer
16 years 3 months ago
Cost-minimising strategies for data labelling : optimal stopping and active learning
Supervised learning deals with the inference of a distribution over an output or label space $\CY$ conditioned on points in an observation space $\CX$, given a training dataset $D$...
Christos Dimitrakakis, Christian Savu-Krohn
162
Voted
ICDM
2007
IEEE
187views Data Mining» more  ICDM 2007»
16 years 29 days ago
A Comparative Study of Methods for Transductive Transfer Learning
The problem of transfer learning, where information gained in one learning task is used to improve performance in another related task, is an important new area of research. While...
Andrew Arnold, Ramesh Nallapati, William W. Cohen
SPATIALCOGNITION
1998
Springer
15 years 11 months ago
Human Place Learning in a Computer Generated Arena
We describe the development of a computer-generated arena within which one can study human place learning by asking subjects to locate an invisible target. A series of studies demo...
L. Nadel, K. G. F. Thomas, H. E. Laurance, R. Skel...
ICML
2004
IEEE
16 years 7 months ago
Robust feature induction for support vector machines
The goal of feature induction is to automatically create nonlinear combinations of existing features as additional input features to improve classification accuracy. Typically, no...
Rong Jin, Huan Liu
BMCBI
2006
94views more  BMCBI 2006»
15 years 6 months ago
Noise-injected neural networks show promise for use on small-sample expression data
Background: Overfitting the data is a salient issue for classifier design in small-sample settings. This is why selecting a classifier from a constrained family of classifiers, on...
Jianping Hua, James Lowey, Zixiang Xiong, Edward R...