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NIPS
2004
13 years 9 months ago
Maximising Sensitivity in a Spiking Network
We use unsupervised probabilistic machine learning ideas to try to explain the kinds of learning observed in real neurons, the goal being to connect abstract principles of self-or...
Anthony J. Bell, Lucas C. Parra
ITS
2004
Springer
99views Multimedia» more  ITS 2004»
14 years 27 days ago
Promoting Effective Help-Seeking Behavior Through Declarative Instruction
The ability to use help-resources efficiently is an important skill in any learning environment, whether the student is in a traditional classroom or is using an Intelligent Tutor...
Ido Roll, Vincent Aleven, Kenneth R. Koedinger
CHI
2003
ACM
14 years 8 months ago
A physical interface for system dynamics simulation
We present the System Blocks, a new physical interactive system that makes it easier for kids to explore dynamic systems. A set of computationally enhanced children blocks, made o...
Oren Zuckerman, Mitchel Resnick
RECOMB
2006
Springer
14 years 7 months ago
Leveraging Information Across HLA Alleles/Supertypes Improves Epitope Prediction
We present a model for predicting HLA class I restricted CTL epitopes. In contrast to almost all other work in this area, we train a single model on epitopes from all HLA alleles a...
David Heckerman, Carl Myers Kadie, Jennifer Listga...
VL
2008
IEEE
122views Visual Languages» more  VL 2008»
14 years 1 months ago
Designers' natural descriptions of interactive behaviors
While a designer’s focus used to be the design of non-interactive elements such as graphics or animations, today’s designers deal with various levels of interactivity such as ...
Sun Young Park, Brad A. Myers, Andrew J. Ko