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PKDD
2009
Springer
181views Data Mining» more  PKDD 2009»
15 years 10 months ago
Active Learning for Reward Estimation in Inverse Reinforcement Learning
Abstract. Inverse reinforcement learning addresses the general problem of recovering a reward function from samples of a policy provided by an expert/demonstrator. In this paper, w...
Manuel Lopes, Francisco S. Melo, Luis Montesano
SMA
2011
ACM
265views Solid Modeling» more  SMA 2011»
14 years 11 months ago
Modeling individual migraine severity with autoregressive ordered probit models
This paper considers the problem of modeling migraine severity assessments and their dependence on weather and time characteristics. We take on the viewpoint of a patient who is i...
Claudia Czado, Anette Heyn, Gernot Müller
ECCV
2008
Springer
16 years 5 months ago
Analysis of Building Textures for Reconstructing Partially Occluded Facades
Abstract. As part of an architectural modeling project, this paper investigates the problem of understanding and manipulating images of buildings. Our primary motivation is to auto...
Thommen Korah, Christopher Rasmussen
TOIS
2010
128views more  TOIS 2010»
15 years 2 months ago
Learning author-topic models from text corpora
We propose a new unsupervised learning technique for extracting information about authors and topics from large text collections. We model documents as if they were generated by a...
Michal Rosen-Zvi, Chaitanya Chemudugunta, Thomas L...
CGA
1998
15 years 3 months ago
Composite Lighting Simulations with Lighting Networks
A whole variety of different techniques for simulating global illumination in virtual environments have been developed over recent years. Each technique, including Radiosity, Mont...
Philipp Slusallek, Marc Stamminger, Wolfgang Heidr...