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ICML
2010
IEEE
15 years 7 months ago
Bayesian Multi-Task Reinforcement Learning
We consider the problem of multi-task reinforcement learning where the learner is provided with a set of tasks, for which only a small number of samples can be generated for any g...
Alessandro Lazaric, Mohammad Ghavamzadeh
ICML
2010
IEEE
15 years 7 months ago
Gaussian Process Optimization in the Bandit Setting: No Regret and Experimental Design
Many applications require optimizing an unknown, noisy function that is expensive to evaluate. We formalize this task as a multiarmed bandit problem, where the payoff function is ...
Niranjan Srinivas, Andreas Krause, Sham Kakade, Ma...
ACMDIS
2010
ACM
15 years 7 months ago
Some consideration on the (in)effectiveness of residential energy feedback systems
Energy feedback systems, particularly residential energy feedback systems (REFS), have emerged as a key area for HCI and interaction design. However, we argue that HCI researchers...
James Pierce, Chloe Fan, Derek Lomas, Gabriela Mar...
ACMDIS
2010
ACM
15 years 7 months ago
Investigating the relationship between imagery and rationale in design
Artifacts can be used to inspire, guide, and create new designs. As approaches to design can range from focusing on inspiration to formalized reasoning, we seek to create and stud...
Shahtab Wahid, Stacy M. Branham, D. Scott McCricka...
ICML
2010
IEEE
15 years 7 months ago
Application of Machine Learning To Epileptic Seizure Detection
We present and evaluate a machine learning approach to constructing patient-specific classifiers that detect the onset of an epileptic seizure through analysis of the scalp EEG, a...
Ali H. Shoeb, John V. Guttag
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