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» The changing science of machine learning
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ACE
2004
222views Education» more  ACE 2004»
13 years 10 months ago
Learning about Software Development - Should Programming Always Come First?
The issues surrounding curriculum design of many Computer Science and Software Engineering degree programs1 are many and complex. In particular, the question of whether prior prog...
Margaret Hamilton, Liz Haywood
GLOBECOM
2010
IEEE
13 years 7 months ago
Reinforcement Learning for Link Adaptation in MIMO-OFDM Wireless Systems
Machine learning algorithms have recently attracted much interest for effective link adaptation due to their flexibility and ability to capture more environmental effects implicitl...
Sungho Yun, Constantine Caramanis
GECCO
2006
Springer
153views Optimization» more  GECCO 2006»
14 years 21 days ago
Analysis of the difficulty of learning goal-scoring behaviour for robot soccer
Learning goal-scoring behaviour from scratch for simulated robot soccer is considered to be a very difficult problem, and is often achieved by endowing players with an innate set ...
Jeff Riley, Victor Ciesielski
JMLR
2012
11 years 11 months ago
Online Incremental Feature Learning with Denoising Autoencoders
While determining model complexity is an important problem in machine learning, many feature learning algorithms rely on cross-validation to choose an optimal number of features, ...
Guanyu Zhou, Kihyuk Sohn, Honglak Lee

Book
545views
15 years 4 months ago
Artificial Intelligence: A Modern Approach
"Artificial Intelligence (AI) is a big field, and this is a big book. We have tried to explore the full breadth of the field, which encompasses logic, probability, and continu...
Stuart Russell and Peter Norvig