Index Catalog // ScholarsArchive@OSU

AO* revisited

Creator:: Bayer-Zubek, Valentina and Dietterich, Thomas Glen
Abstract:: Preprint submitted to Elsevier Science 30 June 2004.
Resource Type:: Article
Full Text:: paper.dvi AO � Revisited Valentina Bayer Zubek �� Thomas G

Design implications for end-user debugging tools : a strategy-based view

Creator:: Grigoreanu, Valentina I., Burnett, Margaret, and Robertson, George
Abstract:: End-user programmers’ code (e.g., accountants’ spreadsheet formulas) is fraught with errors. To help mitigate this problem, end-user software engineering research is becoming established. However, most of this work has focused on feature usage, rather than debugging strategies. If a debugging tool were to support end-user programmers’ specific debugging strategy needs,...
Resource Type:: Technical Report
Full Text:: for End-User Debugging Tools: A Strategy-Based View Valentina Grigoreanu, Margaret Burnett

A strategy-centric approach to the design of end-user debugging tools

Creator:: Grigoreanu, Valentina I., Burnett, Margaret, and Robertson, George
Abstract:: End-user programmers’ code is notoriously buggy. This problem is amplified by the increasing complexity of end users’ programs. To help end users catch errors early and reliably, we employ a novel approach for the design of end-user debugging tools: a focus on supporting end users’ effective debugging strategies. This paper...
Resource Type:: Technical Report
Full Text:: Approach to the Design of End-User Debugging Tools Valentina Grigoreanu, Margaret Burnett Oregon

Learning diagnostic policies from examples by systematic search

Creator:: Oregon State University. Dept. of Computer Science and Zubek, Valentina Bayer
Abstract:: A diagnostic policy species what test to perform next based on the results of previous tests and when to stop and make a diagnosis. Cost-sensitive diagnostic policies perform tradeoffs between (a) the costs of tests and (b) the costs of misdiagnoses. An optimal diagnostic policy minimizes the expected total cost....
Resource Type:: Research Paper
Full Text:: Systematic Search Valentina Bayer�Zubek School of Electrical Engineering and Computer Science Oregon State

Integrating learning from examples into the search for diagnostic policies

Creator:: Oregon State University. Dept. of Computer Science, Bayer-Zubek, Valentina, and Dietterich, Thomas Glen
Abstract:: This paper studies the problem of learning diagnostic policies from training examples. A diagnostic policy is a complete description of the decision-making actions of a diagnostician (i.e., tests followed by a diagnostic decision) for all possible combinations of test results. An optimal diagnostic policy is one that minimizes the expected...
Resource Type:: Research Paper
Full Text:: ∗ Valentina Bayer-Zubek bayer@cs.orst.edu Thomas G. Dietterich tgd@cs.orst.edu School of Electrical

A POMDP approximation algorithm that anticipates the need to observe

Creator:: Oregon State University. Dept. of Computer Science, Bayer, Valentina, and Dietterich, Thomas Glen
Abstract:: This paper introduces the even-odd POMDP, an approximation to POMDPs in which the world is assumed to be fully observable every other time step. The even-odd POMDP can be converted into an equivalent MDP, the 2MDP, whose value function, V*[subscript 2MDP], can be combined online with a 2-step lookahead search...
Resource Type:: Research Paper
Full Text:: Observe Valentina Bayer bayer@cs.orst.edu Thomas Dietterich tgd@cs.orst.edu Department of Computer

A POMDP approximation algorithm that anticipates the need to observe

Creator:: Oregon State University. Dept. of Computer Science, Zubek, Valentina Bayer, and Dietterich, Thomas Glen
Abstract:: This paper introduces the even-odd POMDP an approximation to POMDPs Partially Observable Markov Decision Problems in which the world is assumed to be fully observable every other time step. This approximation works well for problems with a delayed need to observe. The even-odd POMDP can be converted into an equivalent...
Resource Type:: Research Paper
Full Text:: Need to Observe Valentina Bayer Zubek and Thomas Dietterich Department of Computer Science� Oregon

Two heuristics for solving POMDPs having a delayed need to observe

Creator:: Oregon State University. Dept. of Computer Science, Zubek, Valentina Bayer, and Dietterich, Thomas Glen
Abstract:: A common heuristic for solving Partially Observable Markov Decision Problems POMDPs is to first solve the underlying Markov Decision Process MDP and then construct a POMDP policy by performing a fixed depth lookahead search in the POMDP and evaluating the leaf nodes using the MDP value function. A problem with...
Resource Type:: Research Paper
Full Text:: Need to Observe Valentina Bayer Zubek and Thomas Dietterich bayer�cs�orst�edu tgd�cs�orst�edu

Approximation algorithms for solving cost observable Markov decision processes

Creator:: Oregon State University. Dept. of Computer Science and Bayer, Valentina
Abstract:: "The specifi c problem addressed in this proposal is the development of good approximation algorithms for solving problems that have partial observability. The model we propose associates costs with obtaining information about the current state. We want to predict when and how much it is necessary to observe. We want...
Resource Type:: Research Paper
Full Text:: Decision Processes Ph.D. Proposal Department of Computer Science Oregon State University Valentina

Females' and males' end-user debugging strategies : a sensemaking perspective

Creator:: Grigoreanu, Valentina I., Burnett, Margaret, Wiedenbeck, Susan, Cao, Jill, and Rector, Kyle
Abstract:: Although there have been decades of research into how professional programmers debug, only recently has work begun to emerge about how end-user programmers attempt to debug their programs. Without understanding how end-user programmers approach debugging, we cannot build tools to adequately support their needs. To help fill this need, this...
Resource Type:: Technical Report
Full Text:: - Females’ and Males’ End-User Debugging Strategies: A Sensemaking Perspective VALENTINA GRIGOREANU

ScholarsArchive@OSU

AO* revisited

Design implications for end-user debugging tools : a strategy-based view

A strategy-centric approach to the design of end-user debugging tools

Learning diagnostic policies from examples by systematic search

Integrating learning from examples into the search for diagnostic policies

A POMDP approximation algorithm that anticipates the need to observe

A POMDP approximation algorithm that anticipates the need to observe

Two heuristics for solving POMDPs having a delayed need to observe

Approximation algorithms for solving cost observable Markov decision processes

Females' and males' end-user debugging strategies : a sensemaking perspective

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