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ALT
2002
Springer
15 years 11 months ago
Optimally-Smooth Adaptive Boosting and Application to Agnostic Learning
We describe a new boosting algorithm that is the first such algorithm to be both smooth and adaptive. These two features make possible performance improvements for many learning ...
Dmitry Gavinsky
ICML
2003
IEEE
16 years 3 months ago
Goal-directed Learning to Fly
Learning to fly an aircraft is a complex task that requires the development of control skills and goal achievement strategies. This paper presents a behavioural cloning system tha...
Andrew Isaac, Claude Sammut
120
Voted
ICML
2009
IEEE
16 years 3 months ago
Convolutional deep belief networks for scalable unsupervised learning of hierarchical representations
There has been much interest in unsupervised learning of hierarchical generative models such as deep belief networks. Scaling such models to full-sized, high-dimensional images re...
Honglak Lee, Roger Grosse, Rajesh Ranganath, Andre...
121
Voted
ICALT
2006
IEEE
15 years 8 months ago
Hybrid System for Generating Learning Object Metadata
– Generating LOM for learning material is a complex and tedious task to be manually completed. Therefore, the current trend is to automate this process. However, there are severa...
Olivier Motelet, Nelson A. Baloian
109
Voted
ICML
2006
IEEE
16 years 3 months ago
Using inaccurate models in reinforcement learning
In the model-based policy search approach to reinforcement learning (RL), policies are found using a model (or "simulator") of the Markov decision process. However, for ...
Pieter Abbeel, Morgan Quigley, Andrew Y. Ng