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» The Foundations of Cost-Sensitive Learning
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AI
2007
Springer
13 years 7 months ago
Learning action models from plan examples using weighted MAX-SAT
AI planning requires the definition of action models using a formal action and plan description language, such as the standard Planning Domain Definition Language (PDDL), as inp...
Qiang Yang, Kangheng Wu, Yunfei Jiang
NIPS
1989
13 years 8 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
CHI
1994
ACM
13 years 11 months ago
What HCI designers can learn from video game designers
Computer users have tasks they need to perform, and are therefore motivated to overcome poorly designed interfaces. With video games, there is no external motivation for the task ...
Randy Pausch, Rich Gold, Tim Skelly, David Thiel
SIGCSE
2002
ACM
229views Education» more  SIGCSE 2002»
13 years 7 months ago
GraphicsMentor: a tool for learning graphics fundamentals
This paper discusses the functionality of GraphicsMentor. GraphicsMentor permits a student to modify many parameters of the camera, objects, and light sources interactively, and t...
Dejan Nikolic, Ching-Kuang Shene
PSD
2004
Springer
108views Database» more  PSD 2004»
14 years 28 days ago
Developing Adoptable Disclosure Protection Techniques: Lessons Learned from a U.S. Experience
The development of new disclosure protection techniques is useful only insofar as those techniques are adopted by statistical agencies. In order for technical experts in disclosure...
Nicholas H. Greenia