Search
Skip to Search Results- 5Active learning
- 2Function approximation
- 2Temporal difference learning
- 2Two-timescale stochastic approximation
- 1Actor-critic methods
- 1Actor-critic reinforcement learning algorithms
- 1Bhatnagar, Shalabh
- 1Campbell, Sandy
- 1Farhangfar, Alireza
- 1Fatmi, Mim S.
- 1Ghavamzadeh, Mohammad
- 1Graves, Daniel
- 3Graduate and Postdoctoral Studies (GPS), Faculty of
- 3Graduate and Postdoctoral Studies (GPS), Faculty of/Theses and Dissertations
- 2Computing Science, Department of
- 2Computing Science, Department of/Technical Reports (Computing Science)
- 1Medicine and Dentistry, Faculty of
- 1Medicine and Dentistry, Faculty of/Medical Education
-
Development of Partially Supervised Kernel-based Proximity Clustering Frameworks and Their Applications
DownloadSpring 2011
The focus of this study is the development and evaluation of a new partially supervised learning framework. This framework belongs to an emerging field in machine learning that augments unsupervised learning processes with some elements of supervision. It is based on proximity fuzzy clustering,...
-
2009
Bhatnagar, Shalabh, Sutton, Richard, Ghavamzadeh, Mohammad, Lee, Mark
Technical report TR09-10. We present four new reinforcement learning algorithms based on actor-critic, function approximation, and natural gradient ideas, and we provide their convergence proofs. Actor-critic reinforcement learning methods are online approximations to policy iteration in which...
-
Spring 2013
Many machine learning algorithms learn from the data by capturing certain interesting characteristics. Decision trees are used in many classification tasks. In some circumstances, we only want to consider fixed-depth trees. Unfortunately, finding the optimal depth-d decision tree can require time...
-
Fall 2015
This dissertation first introduces the concepts of robust active learning (also called optimal experimental design in statistics), and the possible advantages of it over the traditional passive learning method. Then a general regression problem with possibly misspecified models is presented, and...
-
The Effectiveness of Team Based Learning on Learning Outcomes in Health Professions Education: A Best Evidence for Medical Education (BEME) Systematic Review
Download2011-10-25
Hartling, Lisa, Oswald, Anna E., Hillier, Tracey, Campbell, Sandy, Fatmi, Mim S.
The aim of this systematic review was to asess the effectiveness of team based learning on improving learning outcomes in health professions education in order to provide curriculum planners with more direction in their decision-making with regard to TBL implementation.