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CIKM
1997
Springer
14 years 1 months ago
Learning Belief Networks from Data: An Information Theory Based Approach
This paper presents an efficient algorithm for learning Bayesian belief networks from databases. The algorithm takes a database as input and constructs the belief network structur...
Jie Cheng, David A. Bell, Weiru Liu
IJCAI
1997
13 years 10 months ago
Machine Learning Techniques to Make Computers Easier to Use
Identifying user-dependent information that can be automatically collected helps build a user model by which 1) to predict what the user wants to do next and 2) to do relevant pre...
Hiroshi Motoda, Kenichi Yoshida
FGR
2008
IEEE
176views Biometrics» more  FGR 2008»
14 years 3 months ago
Learning image alignment without local minima for face detection and tracking
Active Appearance Models (AAMs) have been extensively used for face alignment during the last 20 years. While AAMs have numerous advantages relative to alternate approaches, they ...
Minh Hoai Nguyen, Fernando De la Torre
AAAI
2008
13 years 11 months ago
Online Learning with Expert Advice and Finite-Horizon Constraints
In this paper, we study a sequential decision making problem. The objective is to maximize the average reward accumulated over time subject to temporal cost constraints. The novel...
Branislav Kveton, Jia Yuan Yu, Georgios Theocharou...
SIMPRA
2008
83views more  SIMPRA 2008»
13 years 9 months ago
Learning by doing, learning spillovers and the diffusion of fuel cell vehicles
Fuel cell vehicles (FCVs) running on hydrogen do not cause local air pollution. Depending on the energy sources used to produce the hydrogen they may also reduce greenhouse gases ...
Malte Schwoon