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» A Bayesian Approach to Semi-Supervised Learning
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ICRA
1999
IEEE
126views Robotics» more  ICRA 1999»
14 years 27 days ago
Monte Carlo Localization for Mobile Robots
Mobile robot localization is the problem of determining a robot's pose from sensor data. This article presents a family of probabilisticlocalization algorithms known as Monte...
Frank Dellaert, Dieter Fox, Wolfram Burgard, Sebas...
ICGA
2007
157views Optimization» more  ICGA 2007»
13 years 8 months ago
Computing "Elo Ratings" of Move Patterns in the Game of Go
Abstract. Move patterns are an essential method to incorporate domain knowledge into Go-playing programs. This paper presents a new Bayesian technique for supervised learning of su...
Rémi Coulom
BMCV
2000
Springer
14 years 29 days ago
The Spectral Independent Components of Natural Scenes
Abstract. We apply independent component analysis (ICA) for learning an efficient color image representation of natural scenes. In the spectra of single pixels, the algorithm was a...
Te-Won Lee, Thomas Wachtler, Terrence J. Sejnowski
UAI
2000
13 years 10 months ago
Variational Relevance Vector Machines
The Support Vector Machine (SVM) of Vapnik [9] has become widely established as one of the leading approaches to pattern recognition and machine learning. It expresses predictions...
Christopher M. Bishop, Michael E. Tipping
WWW
2007
ACM
14 years 9 months ago
Demographic prediction based on user's browsing behavior
Demographic information plays an important role in personalized web applications. However, it is usually not easy to obtain this kind of personal data such as age and gender. In t...
Jian Hu, Hua-Jun Zeng, Hua Li, Cheng Niu, Zheng Ch...