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ICML
2001
IEEE
16 years 7 months ago
Using EM to Learn 3D Models of Indoor Environments with Mobile Robots
This paper describes an algorithm for generating compact 3D models of indoor environments with mobile robots. Our algorithm employs the expectation maximization algorithm to fit a...
Yufeng Liu, Rosemary Emery, Deepayan Chakrabarti, ...
ISBI
2006
IEEE
16 years 7 months ago
Incremental learning for segmentation in medical images
Hand-coded vision systems are problematic in complex medical domains and are hard to change as new information emerges. Knowledge-Engineering and Machine Learning approaches to in...
Avishkar Misra, Arcot Sowmya, Paul Compton
PKDD
2009
Springer
144views Data Mining» more  PKDD 2009»
16 years 1 months ago
Compositional Models for Reinforcement Learning
Abstract. Innovations such as optimistic exploration, function approximation, and hierarchical decomposition have helped scale reinforcement learning to more complex environments, ...
Nicholas K. Jong, Peter Stone
ICTAI
2008
IEEE
16 years 1 months ago
Classifying Spend Descriptions with Off-the-Shelf Learning Components
Analyzing spend transactions is essential to organizations for understanding their global procurement. Central to this analysis is the automated classification of these transacti...
Saikat Mukherjee, Dmitriy Fradkin, Michael Roth
CSEE
2007
Springer
16 years 24 days ago
Practice and Transfer of Learning in the Teaching of Software Testing
Many university classes and commercial training courses rely on classroom lecture and practice exercises to help students learn new skills. The thesis work described in this paper...
Cem Kaner, Sowmya Padmanabhan