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» The changing science of machine learning
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KDD
2012
ACM
201views Data Mining» more  KDD 2012»
11 years 11 months ago
Learning from crowds in the presence of schools of thought
Crowdsourcing has recently become popular among machine learning researchers and social scientists as an effective way to collect large-scale experimental data from distributed w...
Yuandong Tian, Jun Zhu
ICALT
2006
IEEE
14 years 3 months ago
Mobile Technology and Content Delivery in Education
The purpose of this workshop is to identify various issues that are pertinent to the development and delivery of content in the context of mobile devices. The workshop will focus ...
Rory McGreal, Kinshuk
AAAI
2010
13 years 10 months ago
Evolving Compiler Heuristics to Manage Communication and Contention
As computer architectures become increasingly complex, hand-tuning compiler heuristics becomes increasingly tedious and time consuming for compiler developers. This paper presents...
Matthew E. Taylor, Katherine E. Coons, Behnam Roba...
AI
2002
Springer
13 years 8 months ago
Programming backgammon using self-teaching neural nets
TD-Gammon is a neural network that is able to teach itself to play backgammon solely by playing against itself and learning from the results. Starting from random initial play, TD...
Gerald Tesauro
JKM
2007
89views more  JKM 2007»
13 years 9 months ago
Knowledge leadership cycles: an approach from Nonaka's viewpoint
Purpose – The aim of this paper is to analyse leadership cycles based on knowledge creation, with learning and culture as key elements for reaching leadership. Following Ikujiro...
Maria Sarabia