Searching for authors named "Jesse Davis" – sorted by Relevance.
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An Ambient Computing System
- To my friends and colleagues at ITTC, who have provided me with friendship and insight, not only into my thesis but also into myself. To my parents, Ron and Helen, for their love and support through the years. To Robin, who had changed my life for the better since the first moment I met her, and who
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The Relationship Between Precision-Recall and ROC Curves
- Receiver Operator Characteristic (ROC) curves and Precision-Recall (PR) curves are commonly used to present results for binary decision problems in machine learning. When the class distribution is close to being uniform, ROC curves have many desirable properties. However, when dealing with a highly
- Cited by 32 (2 self) – Add To MetaCart
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An Integrated Approach to Feature Invention and Model Construction for Drug Activity Prediction
- We present a new machine learning approach for 3D-QSAR, the task of predicting binding affinities of molecules to target proteins based on 3D structure. Our approach predicts binding affinity by using regression on substructures discovered by relational learning. We make two contributions to the sta
- Cited by 1 (0 self) – Add To MetaCart
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Deep transfer via second-order markov logic
- Standard inductive learning requires that training and test instances come from the same distribution. Transfer learning seeks to remove this restriction. In shallow transfer, test instances are from the same domain, but have a different distribution. In deep transfer, test instances are from a diff
- Cited by 6 (1 self) – Add To MetaCart
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Change of representation for statistical relational learning
- Statistical relational learning (SRL) algorithms learn statistical models from relational data, such as that stored in a relational database. We previously introduced view learning for SRL, in which the view of a relational database can be automatically modified, yielding more accurate statistical m
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View learning for statistical relational learning: With an application to mammography
- Statistical relational learning (SRL) constructs probabilistic models from relational databases. A key capability of SRL is the learning of arcs (in the Bayes net sense) connecting entries in different rows of a relational table, or in different tables. Nevertheless, SRL approaches currently are con
- Cited by 9 (4 self) – Add To MetaCart
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Using Bayesian classifiers to combine rules
- Abstract. One of the most popular techniques for multi-relational data mining is Inductive Logic Programming (ILP). Given a set of positive and negative examples, an ILP system ideally finds a logical description of the underlying data model that discriminates the positive examples from the negative
- Cited by 5 (3 self) – Add To MetaCart
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EXPERIENCE
- Instructor of 30 students upper-class CS majors. Managed teaching assistant and prepared extensive course webpage.
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BMC Genomics BioMed Central Research article A BAC-based physical map of the Nile tilapia genome
- This is an Open Access article distributed under the terms of the Creative Commons Attribution License
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