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Filtering by: Contributor Profita%2C Cassandra Academic Affiliation Computer Science

Analysis of Bayesian anytime inference algorithms

Creator:

Burgess, Scott Alan

Abstract:

This dissertation explores and analyzes the performance of several Bayesian anytime inference algorithms for dynamic influence diagrams. These algorithms are compared on the On-Line Maintenance Agent testbed, a software artifact permitting comparison of dynamic reasoning algorithms used by an agent on a variety of simulated maintenance and monitoring tasks. Analysis...

Resource Type:

Dissertation

Full Text:

computable [Cassandra 97]. Some recent work attempts to generate approximate solutions quickly. The Witness
Just enough die-level functional test : optimizing IC test via machine learning and decision theory

Creator:

Fountain, Tony R.

Abstract:

This research explores the hypothesis that methods from decision theory and machine learning can be combined to provide practical solutions to current manufacturing control problems. This hypothesis is explored by developing an integrated approach to solving one manufacturing problem - the optimization of die-level functional test. An integrated circuit (IC)...

Resource Type:

Dissertation
Reinforcement learning for job-shop scheduling

Creator:

Zhang, Wei, 1960-

Resource Type:

Dissertation