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» The changing science of machine learning
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NIPS
1989
13 years 10 months ago
The Cascade-Correlation Learning Architecture
Cascade-Correlation is a new architecture and supervised learning algorithm for artificial neural networks. Instead of just adjusting the weights in a network of fixed topology,...
Scott E. Fahlman, Christian Lebiere
NECO
2007
150views more  NECO 2007»
13 years 8 months ago
Reinforcement Learning, Spike-Time-Dependent Plasticity, and the BCM Rule
Learning agents, whether natural or artificial, must update their internal parameters in order to improve their behavior over time. In reinforcement learning, this plasticity is ...
Dorit Baras, Ron Meir
MSS
2005
IEEE
138views Hardware» more  MSS 2005»
14 years 2 months ago
EOSDIS Petabyte Archives: Tenth Anniversary
One of the world’s largest scientific data systems, NASA’s Earth Observing System Data and Information System (EOSDIS) has stored over three petabytes of earth science data in...
Jeanne Behnke, Tonjua Hines Watts, Ben Kobler, Daw...
SIGCSE
2004
ACM
112views Education» more  SIGCSE 2004»
14 years 2 months ago
Using software testing to move students from trial-and-error to reflection-in-action
Introductory computer science students rely on a trial and error approach to fixing errors and debugging for too long. Moving to a reflection in action strategy can help students ...
Stephen H. Edwards
PVLDB
2008
131views more  PVLDB 2008»
13 years 8 months ago
Learning to create data-integrating queries
The number of potentially-related data resources available for querying -- databases, data warehouses, virtual integrated schemas -continues to grow rapidly. Perhaps no area has s...
Partha Pratim Talukdar, Marie Jacob, Muhammad Salm...