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» Active Semi-Supervised Learning using Submodular Functions
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KDD
2009
ACM
191views Data Mining» more  KDD 2009»
14 years 1 days ago
Improving data mining utility with projective sampling
Overall performance of the data mining process depends not just on the value of the induced knowledge but also on various costs of the process itself such as the cost of acquiring...
Mark Last
NN
2000
Springer
123views Neural Networks» more  NN 2000»
13 years 7 months ago
Local minima and plateaus in hierarchical structures of multilayer perceptrons
Local minima and plateaus pose a serious problem in learning of neural networks. We investigate the hierarchical geometric structure of the parameter space of three-layer perceptr...
Kenji Fukumizu, Shun-ichi Amari
CATE
2004
138views Education» more  CATE 2004»
13 years 8 months ago
A Web Portal for Open-Source Synchronous Distance Education
Network EducationWare (NEW) is an integrated collection of open-source software for synchronous Internet communication, where a class is simultaneously taught to local students an...
J. Mark Pullen, Priscilla M. McAndrews
AMAI
2002
Springer
13 years 7 months ago
Minimizing Output Error in Multi-Layer Perceptrons
act It is well-established that a multi-layer perceptron (MLP) with a single hidden layer of N neurons and an activation function bounded by zero at negative infinity and one at in...
Jonathan P. Bernick
HRI
2006
ACM
14 years 1 months ago
FOCUS: a generalized method for object discovery for robots that observe and interact with humans
The essence of the signal-to-symbol problem consists of associating a symbolic description of an object (e.g., a chair) to a signal (e.g., an image) that captures the real object....
Manuela M. Veloso, Paul E. Rybski, Felix von Hunde...