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» Active Learning with Statistical Models
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NIPS
2008
15 years 7 months ago
Analyzing human feature learning as nonparametric Bayesian inference
Almost all successful machine learning algorithms and cognitive models require powerful representations capturing the features that are relevant to a particular problem. We draw o...
Joseph Austerweil, Thomas L. Griffiths
ISVC
2007
Springer
16 years 16 days ago
Boosting with Temporal Consistent Learners: An Application to Human Activity Recognition
We present a novel boosting algorithm where temporal consistency is addressed in a short-term way. Although temporal correlation of observed data may be an important cue for classi...
Pedro Canotilho Ribeiro, Plinio Moreno, José...
JUCS
2007
90views more  JUCS 2007»
15 years 6 months ago
Distance Learning and Student Satisfaction in Java Programming Courses
: Student satisfaction with distance learning is impacted by a variety of factors, including interaction with the instructor and the structure of the course. Satisfaction with dist...
Amber Settle, Chad Settle
CAISE
2011
Springer
14 years 10 months ago
Supporting Dynamic, People-Driven Processes through Self-learning of Message Flows
Abstract. Flexibility and automatic learning are key aspects to support users in dynamic business environments such as value chains across SMEs or when organizing a large event. Pr...
Christoph Dorn, Schahram Dustdar
ACL
2010
15 years 4 months ago
Learning to Translate with Source and Target Syntax
Statistical translation models that try to capture the recursive structure of language have been widely adopted over the last few years. These models make use of varying amounts o...
David Chiang