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TMI
2002
248views more  TMI 2002»
15 years 6 months ago
Adaptive Elastic Segmentation of Brain MRI via Shape Model Guided Evolutionary Programming
This paper presents a fully automated segmentation method for medical images. The goal is to localize and parameterize a variety of types of structure in these images for subsequen...
Alain Pitiot, Arthur W. Toga, Paul M. Thompson
ICML
2000
IEEE
15 years 11 months ago
Using Knowledge to Speed Learning: A Comparison of Knowledge-based Cascade-correlation and Multi-task Learning
Cognitive modeling with neural networks unrealistically ignores the role of knowledge in learning by starting from random weights. It is likely that effective use of knowledge by ...
Thomas R. Shultz, François Rivest
ICRA
2002
IEEE
87views Robotics» more  ICRA 2002»
15 years 11 months ago
Visual Guided Grasping of Aggregates using Self-Valuing Learning
We present a self-valuing learning technique which is capable of learning how to grasp unfamiliar objects and generalize the learned abilities. The learning system consists of two...
Bernd Rössler, Jianwei Zhang, Alois Knoll
NECO
2002
78views more  NECO 2002»
15 years 6 months ago
Local Overfitting Control via Leverages
We present a novel approach to dealing with overfitting in black-box models. It is based on the leverages of the samples, i.e. on the influence that each observation has on the pa...
Gaétan Monari, Gérard Dreyfus
AII
1989
15 years 10 months ago
Towards Representation Independence in PAC Learning
In the recent development ofwrious models of learning inspired by the PAC learning model (introduced by Valiant) there has been a trend towards models which are as representation ...
Manfred K. Warmuth