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» Observational Learning in Random Networks
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INFOCOM
2008
IEEE
14 years 4 months ago
Is Random Network Coding Helpful in WiMAX?
—The IEEE 802.16 standard, or WiMAX, has emerged to facilitate high-bandwidth wireless access in realworld metropolitan areas, commonly referred to as 4G. In WiMAX, Hybrid Automa...
Jin Jin, Baochun Li, Taegon Kong
ICML
2000
IEEE
14 years 2 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
ICML
2009
IEEE
14 years 10 months ago
Herding dynamical weights to learn
A new "herding" algorithm is proposed which directly converts observed moments into a sequence of pseudo-samples. The pseudosamples respect the moment constraints and ma...
Max Welling
CDC
2009
IEEE
149views Control Systems» more  CDC 2009»
13 years 10 months ago
Context-dependent multi-class classification with unknown observation and class distributions with applications to bioinformatic
We consider the multi-class classification problem, based on vector observation sequences, where the conditional (given class observations) probability distributions for each class...
Alex S. Baras, John S. Baras
RAS
2000
161views more  RAS 2000»
13 years 9 months ago
Active object recognition by view integration and reinforcement learning
A mobile agent with the task to classify its sensor pattern has to cope with ambiguous information. Active recognition of three-dimensional objects involves the observer in a sear...
Lucas Paletta, Axel Pinz