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NIPS
2004
15 years 5 months ago
Log-concavity Results on Gaussian Process Methods for Supervised and Unsupervised Learning
Log-concavity is an important property in the context of optimization, Laplace approximation, and sampling; Bayesian methods based on Gaussian process priors have become quite pop...
Liam Paninski
INTERACT
2003
15 years 5 months ago
Embedding Interactions in a Retail Store Environment: The Design and Lessons Learned
: We developed a steerable interface system that can direct graphical displays to any desirable locations, can capture interactions at any desirable locations, and can track user l...
Piyawadee Noi Sukaviriya, Mark Podlaseck, Rick Kje...
AAAI
1997
15 years 5 months ago
The Sounds of Silence: Towards Automated Evaluation of Student Learning in a Reading Tutor that Listens
1 We propose a paradigm for ecologically valid, authentic, unobtrusive, automatic, data-rich, fast, robust, and sensitive evaluation of computer-assisted student performance. We i...
Jack Mostow, Gregory Aist
IJCAI
1997
15 years 5 months ago
Learning Short-Term Weights for GSAT
We investigate an improvement to GSAT which associates a weight with each clause. We change the objective function so that GSAT moves to assignments maximizing the weight of satis...
Jeremy Frank
PAMI
2007
137views more  PAMI 2007»
15 years 3 months ago
Biometrics from Brain Electrical Activity: A Machine Learning Approach
—The potential of brain electrical activity generated as a response to a visual stimulus is examined in the context of the identification of individuals. Specifically, a framewor...
Ramaswamy Palaniappan, Danilo P. Mandic