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» A Model of Learning Using the Internet
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142
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ICA
2010
Springer
15 years 6 months ago
Use of Prior Knowledge in a Non-Gaussian Method for Learning Linear Structural Equation Models
Abstract. We discuss causal structure learning based on linear structural equation models. Conventional learning methods most often assume Gaussianity and create many indistinguish...
Takanori Inazumi, Shohei Shimizu, Takashi Washio
119
Voted
IROS
2007
IEEE
95views Robotics» more  IROS 2007»
15 years 11 months ago
Load estimation and control using learned dynamics models
— Classic adaptive control methods for handling varying loads rely on an analytically derived model of the robot’s dynamics. However, in many situations, it is not feasible or ...
Georgios Petkos, Sethu Vijayakumar
139
Voted
HICSS
2002
IEEE
106views Biometrics» more  HICSS 2002»
15 years 9 months ago
Satisfaction with Internet-Based Services
: This research develops, operationalizes, and empirically tests a model for explaining/predicting the satisfaction of customers with Internet-based services in the context of an o...
Mohamed Khalifa, Vanessa Liu
IROS
2009
IEEE
180views Robotics» more  IROS 2009»
15 years 11 months ago
Control of redundant robots using learned models: An operational space control approach
Abstract— We present an adaptive control approach combining forward kinematics model learning methods with the operational space control approach. This combination endows the rob...
Camille Salaün, Vincent Padois, Olivier Sigau...
ICML
2010
IEEE
15 years 6 months ago
High-Performance Semi-Supervised Learning using Discriminatively Constrained Generative Models
We develop a semi-supervised learning method that constrains the posterior distribution of latent variables under a generative model to satisfy a rich set of feature expectation c...
Gregory Druck, Andrew McCallum