582 search results - page 104 / 117 » Gaussian Processes in Reinforcement Learning |
MEDINFO
2007
13 years 11 months ago
2007
Objective: To apply and compare common machine learning techniques with an expert-built Bayesian Network to determine eligibility for asthma guidelines in pediatric emergency depa...
KDD
2007
ACM
14 years 10 months ago
2007
ACM
A wide variety of machine learning problems can be described as minimizing a regularized risk functional, with different algorithms using different notions of risk and different r...
IJCNN
2008
IEEE
14 years 4 months ago
2008
IEEE
— Ordinal regression is an important type of learning, which has properties of both classification and regression. Here we describe an effective approach to adapt a traditional ...
IJMMS
2007
13 years 9 months ago
2007
Predicting when a person might be frustrated can provide an intelligent system with important information about when to initiate interaction. For example, an automated Learning Co...
AAAI
2012
12 years 1 days ago
2012
Many noise models do not faithfully reflect the noise processes introduced during data collection in many real-world applications. In particular, we argue that a type of noise re...