Sciweavers

85 search results - page 7 / 17
» i-MAC - a MAC that learns
Sort
View
PKDD
1999
Springer
90views Data Mining» more  PKDD 1999»
13 years 11 months ago
Learning from Highly Structured Data by Decomposition
This paper addresses the problem of learning from highly structured data. Speci cally, it describes a procedure, called decomposition, that allows a learner to access automatically...
René MacKinney-Romero, Christophe G. Giraud...
DGO
2003
111views Education» more  DGO 2003»
13 years 8 months ago
Assessing the Usefulness and Usability of Online Learning Activities: MapStats for Kids
MapStats for Kids is concerned with the development of online learning activities based on data from the FedStats web portal. The development of these web applications requires th...
Sven Fuhrmann, John Bosley, Roger Downs, Mark Gahe...
ICML
2009
IEEE
14 years 7 months ago
Tractable nonparametric Bayesian inference in Poisson processes with Gaussian process intensities
The inhomogeneous Poisson process is a point process that has varying intensity across its domain (usually time or space). For nonparametric Bayesian modeling, the Gaussian proces...
Ryan Prescott Adams, Iain Murray, David J. C. MacK...
CHI
2009
ACM
14 years 1 months ago
Growing up programming: democratizing the creation of dynamic, interactive media
Young people interact with games, animations, and simulations all of the time. But few of them are able to create interactive media. The obstacle: traditional programming language...
Mitchel Resnick, Mary Flanagan, Caitlin Kelleher, ...
ROBOCUP
2004
Springer
138views Robotics» more  ROBOCUP 2004»
14 years 2 days ago
An Algorithm That Recognizes and Reproduces Distinct Types of Humanoid Motion Based on Periodically-Constrained Nonlinear PCA
Abstract. This paper proposes a new algorithm for the automatic segmentation of motion data from a humanoid soccer playing robot that allows feedforward neural networks to generali...
Rawichote Chalodhorn, Karl F. MacDorman, Minoru As...