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GECCO
2006
Springer
192views Optimization» more  GECCO 2006»
14 years 19 days ago
Optimising cancer chemotherapy using an estimation of distribution algorithm and genetic algorithms
This paper presents a methodology for using heuristic search methods to optimise cancer chemotherapy. Specifically, two evolutionary algorithms - Population Based Incremental Lear...
Andrei Petrovski, Siddhartha Shakya, John A. W. Mc...
ICALT
2007
IEEE
14 years 3 months ago
In Search of Quality Learning Technologies for Online Distributed Classrooms
Recent developments in technology and access have offered the opportunity to improve online learning environments through increased communication, interactivity among participants...
Madhumita Bhattacharya, Jon Dron
CVPR
2010
IEEE
14 years 2 months ago
Multi-Target Tracking by On-Line Learned Discriminative Appearance Models
We present an approach for online learning of discriminative appearance models for robust multi-target tracking in a crowded scene from a single camera. Although much progress has...
Cheng-Hao Kuo, Chang Huang, Ram Nevatia
NPL
2000
135views more  NPL 2000»
13 years 8 months ago
Towards the Optimal Learning Rate for Backpropagation
A backpropagation learning algorithm for feedforward neural networks with an adaptive learning rate is derived. The algorithm is based upon minimising the instantaneous output erro...
Danilo P. Mandic, Jonathon A. Chambers
CVPR
2007
IEEE
14 years 11 months ago
Discriminative Learning of Dynamical Systems for Motion Tracking
We introduce novel discriminative learning algorithms for dynamical systems. Models such as Conditional Random Fields or Maximum Entropy Markov Models outperform the generative Hi...
Minyoung Kim, Vladimir Pavlovic