Sciweavers

76 search results - page 7 / 16
» Flexible Learning - Maximising Flexibility in a Subject with...
Sort
View
CVPR
2008
IEEE
14 years 9 months ago
Incremental learning of nonparametric Bayesian mixture models
Clustering is a fundamental task in many vision applications. To date, most clustering algorithms work in a batch setting and training examples must be gathered in a large group b...
Ryan Gomes, Max Welling, Pietro Perona
AAAI
2010
13 years 9 months ago
Constraint Programming for Data Mining and Machine Learning
Machine learning and data mining have become aware that using constraints when learning patterns and rules can be very useful. To this end, a large number of special purpose syste...
Luc De Raedt, Tias Guns, Siegfried Nijssen
AUSAI
2006
Springer
13 years 11 months ago
Voting Massive Collections of Bayesian Network Classifiers for Data Streams
Abstract. We present a new method for voting exponential (in the number of attributes) size sets of Bayesian classifiers in polynomial time with polynomial memory requirements. Tra...
Remco R. Bouckaert
SIGCSE
2010
ACM
232views Education» more  SIGCSE 2010»
14 years 2 months ago
Design and evaluation of a computer science and engineering course for middle school girls
A significant focus in the United States recently has been to increase engagement and interest in STEM curricula, particularly among girls and underrepresented minorities [3]. In ...
Gabriela Marcu, Samuel J. Kaufman, Jaihee Kate Lee...
CHI
2003
ACM
14 years 8 months ago
Faceted metadata for image search and browsing
There are currently two dominant interface types for searching and browsing large image collections: keywordbased search, and searching by overall similarity to sample images. We ...
Ka-Ping Yee, Kirsten Swearingen, Kevin Li, Marti A...