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NIPS
2004
13 years 9 months ago
Schema Learning: Experience-Based Construction of Predictive Action Models
Schema learning is a way to discover probabilistic, constructivist, predictive action models (schemas) from experience. It includes methods for finding and using hidden state to m...
Michael P. Holmes, Charles Lee Isbell Jr.
CI
2004
116views more  CI 2004»
13 years 7 months ago
Solution Generation with Qualitative Models of Preferences
We consider automated decision aids that help users select the best solution from a large set of options. For such tools to successfully accomplish their task, eliciting and repre...
Boi Faltings, Marc Torrens, Pearl Pu
AIED
2009
Springer
14 years 2 months ago
Belief Exploration in a Multiple-Media Open Learner Model for Basic Harmony
This paper focuses on whether learners of basic music theory may find a multiple-media independent open learner model useful to explore their knowledge of harmony concepts. Learner...
Matthew Johnson, Susan Bull
NIPS
1998
13 years 9 months ago
SMEM Algorithm for Mixture Models
When learning a mixture model, we suffer from the local optima and model structure determination problems. In this paper, we present a method for simultaneously solving these prob...
Naonori Ueda, Ryohei Nakano, Zoubin Ghahramani, Ge...
VMV
2004
292views Visualization» more  VMV 2004»
13 years 9 months ago
Automatic Generation of Shape Models Using Nonrigid Registration with a Single Segmented Template Mesh
Statistical shape modeling using point distribution models (PDMs) has been studied extensively for segmentation and other image analysis tasks. Methods investigated in the literat...
Geremy Heitz, Torsten Rohlfing, Calvin R. Maurer J...