Priyang Rathod

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We describe an application of AI search and information visu-alization techniques to the problem of school redistricting, in which students are assigned to home schools within a county or school district. This is a multicriteria optimization problem in which competing objectives must be considered, such as school capacity, busing costs, and socioeconomic(More)
Context-specific independence representations, such as tree-structured conditional probability distributions, capture local independence relationships among the random variables in a Bayesian network (BN). Local independence relationships among the random variables can also be captured by using attribute-value hierarchies to find an appropriate abstraction(More)
Context-specific independence representations, such as tree-structured CPTs, reduce the number of parameters in Bayesian networks by capturing local independence relationships. We previously presented Abstraction-Based Search (ABS), a technique for using attribute value hierarchies during Bayesian network learning to remove unimportant distinctions within(More)
The Telescopes in Education (TIE) project, which began in 1992, provides remote access for students to control large observatory telescopes in real time. TIE began with a single telescope, and with manual evaluation and scheduling of student requests. With the sucess of TIE, 20 or more additional telescopes are expected to come on line. With proportionally(More)
The Internet has become an extremely popular source of entertainment and information. But, despite the growing amount of media content, most Web sites today are designed for access via web browsers on the PC, making it difficult for home consumers to access Internet content on their TVs or other devices that lack keyboards. As a result, the Internet is(More)
We describe an application of AI search and information visualization techniques to the problem of school redistricting, in which students are assigned to home schools within a county or school district. This is a multicriteria optimization problem in which competing objectives must be considered, such as school capacity, busing costs, and socioeconomic(More)
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