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» IT alignment: what have we learned
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ETS
2002
IEEE
155views Hardware» more  ETS 2002»
13 years 7 months ago
The experience of practitioners with technology-enhanced teaching and learning
This paper describes a research project, which seeks to showcase the experience base of practitioners with technology-enhanced teaching and learning. A particular focus of this in...
Som Naidu, David Cunnington, Carol Jasen
ICRA
1999
IEEE
97views Robotics» more  ICRA 1999»
13 years 12 months ago
Clustering of Qualitative Contact States for a Transmission Assembly
Current manufacturing methods for robotic-controlled assembly rely on accurate positioning to ensure task completion, often through the use of special xtures and precise calibrati...
Marjorie Skubic, Benjamin Forrester, Brent Nowak
EH
1999
IEEE
351views Hardware» more  EH 1999»
14 years 3 hour ago
Evolvable Hardware or Learning Hardware? Induction of State Machines from Temporal Logic Constraints
Here we advocate an approach to learning hardware based on induction of finite state machines from temporal logic constraints. The method involves training on examples, constraint...
Marek A. Perkowski, Alan Mishchenko, Anatoli N. Ch...
HICSS
2008
IEEE
147views Biometrics» more  HICSS 2008»
14 years 2 months ago
Can Peer-to-Peer Networks Facilitate Information Sharing in Collaborative Learning?
Many peer-to-peer (P2P) networks have been widely used for file sharing. A peer acts both as a content provider and a consumer, and is granted autonomy to decide what content, wit...
Fu-ren Lin, Sheng-cheng Lin, Ying-fen Wang
CORR
2002
Springer
99views Education» more  CORR 2002»
13 years 7 months ago
The Identification of Context-Sensitive Features: A Formal Definition of Context for Concept Learning
A large body of research in machine learning is concerned with supervised learning from examples. The examples are typically represented as vectors in a multi-dimensional feature ...
Peter D. Turney