B
Benjamin Taskar
Researcher at Stanford University
Publications - 5
Citations - 1155
Benjamin Taskar is an academic researcher from Stanford University. The author has contributed to research in topics: Probabilistic logic & Statistical relational learning. The author has an hindex of 5, co-authored 5 publications receiving 1128 citations.
Papers
More filters
Proceedings ArticleDOI
Selectivity estimation using probabilistic models
TL;DR: The approach produces more accurate estimates than standard approaches to selectivity estimation, using comparable space and time for both single-table multi-attribute queries and a general class of select-join queries.
Journal Article
Learning probabilistic models of link structure
TL;DR: This paper proposes two mechanisms for representing a probabilistic distribution over link structures: reference uncertainty and existence uncertainty, and describes the appropriate conditions for using each model and present learning algorithms for each.
Journal ArticleDOI
Rich probabilistic models for gene expression.
TL;DR: A novel functionality that falls naturally out of the framework is demonstrated: predicting the "cluster" of the array resulting from a gene mutation based only on the gene's expression pattern in the context of other mutations.
Proceedings Article
Learning Probabilistic Models of Relational Structure
TL;DR: This paper proposes the use of probabilistic models not only for the attributes in a relational model, but for the relational structure itself, and proposes two mechanisms for modeling structural uncertainty: reference uncertainty and existence uncertainty.
Learning Probabilistic Relational Models with Structural Uncertainty
TL;DR: This work proposes two mechanisms for modeling structural uncertainty in PRMs: reference uncertainty and existence uncertainty, and describes the appropriate conditions for using each model and present learning algorithms for each.