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DIAGRAMS
2004
Springer
14 years 3 months ago
Decision Diagrams in Machine Learning: An Empirical Study on Real-Life Credit-Risk Data
Decision trees are a widely used knowledge representation in machine learning. However, one of their main drawbacks is the inherent replication of isomorphic subtrees, as a result...
Christophe Mues, Bart Baesens, Craig M. Files, Jan...
ICML
2009
IEEE
14 years 11 months ago
Trajectory prediction: learning to map situations to robot trajectories
Trajectory planning and optimization is a fundamental problem in articulated robotics. Algorithms used typically for this problem compute optimal trajectories from scratch in a ne...
Nikolay Jetchev, Marc Toussaint
CANDT
2009
14 years 2 months ago
wConnect: a facebook-based developmental learning community to support women in information technology
The under-representation of women in computer and information science (CIS) has created a crisis in availability of qualified CIS professionals and diversity of perspectives. Many...
Mary Beth Rosson, John M. Carroll, Dejin Zhao, Tim...
CVPR
2008
IEEE
15 years 5 days ago
Learning for stereo vision using the structured support vector machine
We present a random field based model for stereo vision with explicit occlusion labeling in a probabilistic framework. The model employs non-parametric cost functions that can be ...
Yunpeng Li, Daniel P. Huttenlocher
SIGCSE
2006
ACM
135views Education» more  SIGCSE 2006»
14 years 4 months ago
Personality types, learning styles, and an agile approach to software engineering education
This paper describes an initiative at North Carolina State University in which the undergraduate software engineering class was restructured in layout and in presentation. The cha...
Lucas Layman, Travis Cornwell, Laurie A. Williams