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Skip to Search Results- 414Computing Science, Department of
- 315Computing Science, Department of/Technical Reports (Computing Science)
- 71Computing Science, Department of/Conference Papers (Computing Science)
- 23Computing Science, Department of/Journal Articles (Computing Science)
- 4Computing Science, Department of/Research Data and Materials (Computing Science)
- 1Computing Science, Department of/Presentations (Computing Science)
- 95Hindle, Abram
- 28Szafron, Duane
- 21Schaeffer, Jonathan
- 19Zaiane, Osmar
- 15Ozsu, M. Tamer
- 14Nascimento, Mario
- 29Database Systems
- 18Artificial Intelligence
- 13Computer Games
- 9Computer Graphics
- 9Databases
- 9Software Engineering
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1996
Eskicioglu, M. Rasit, Marsland, Tony
Technical report TR96-22. There are two common programming models for intercommunication in parallel and distributed applications: shared memory and message passing. Shared memory has been the standard model for tightly-coupled systems (multiprocessors), where the processors have uniform access...
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2012
Guana, V., Rocha, F.P., Hindle, Abram, Stroulia, E.
In this paper we mine the Android bug tracker repository and study the characteristics of the architectural layers of the Android system. We have identified the locality of the Android bugs in the architectural layers of the its infrastructure, and analysed the bug lifetime patterns in each one...
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2014
Hindle, Abram, Bird, C., Zimmermann, T., Nagappan, N.
Large organizations like Microsoft tend to rely on formal requirements documentation in order to specify and design the software products that they develop. These documents are meant to be tightly coupled with the actual implementation of the features they describe. In this paper we evaluate the...
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2009
Holte, Robert, Zilles, Sandra, Ball, Marcel
Technical report TR09-04. Abstraction is a popular technique for speeding up planning and search. A problem that often arises in using abstraction is the generation of abstract states, called spurious states, from which the goal state is reachable in the abstract space but for which there is no...
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2007
Wang, Tao, Bowling, Michael, Lizotte, Daniel, Schuurmans, Dale
Technical report TR07-10. We propose to use a new dual approach to dynamic programming. The idea is to maintain an explicit representation of stationary distributions as opposed to value functions. A significant advantage of the dual approach is that it allows one to exploit well developed...
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2008
Lizotte, Daniel, Wang, Tao, Bowling, Michael, Schuurmans, Dale
Technical report TR08-16. We propose a dual approach to dynamic programming and reinforcement learning based on maintaining an explicit representation of visit distributions as opposed to value functions. An advantage of working in the dual is that it allows one to exploit techniques for...
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2006
Wang, Tao, Schuurmans, Dale, Bowling, Michael
Technical report TR06-26. We investigate the dual approach to dynamic programming and reinforcement learning, based on maintaining an explicit representation of stationary distributions as opposed to value functions. A significant advantage of the dual approach is that it allows one to exploit...
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2003
Rudnicki, Piotr, Hoover, Jim, Hou, Daqing
Technical report TR03-22. Different program analyses require different information from the source code. For some applications, an AST (Abstract Syntax Tree) representation of the source may be sufficient. We want to be able to specify assertions on the structure of a program without mentioning...
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1993
Technical report TR93-03. There are several ways to search decision trees (one and two-person game trees) in parallel, from simple splitting at the root and Principal Variation Splitting, to Baudet's use of aspiration windows. These static schemes are simple and effective, but dynamic methods...
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ECG for high-throughput screening of multiple diseases: Proof-of-concept using multi-diagnosis deep learning from population-based datasets
Download2021
Sun, W., Kalmady, S.V., Salimi, A.S., Sepehrvand, N., Ly, E., Hindle, Abram, Greiner, R., Kaul, P.
Electrocardiogram (ECG) abnormalities are linked to cardiovascular diseases, but may also occur in other non-cardiovascular conditions such as mental, neurological, metabolic and infectious conditions. However, most of the recent success of deep learning (DL) based diagnostic predictions in...