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Filtering by: Creator Wallace, David A. Degree Level Doctoral Commencement Year Unknown

Model Selection of Discrete Classifiers under Class and Cost Distribution Change: An Empirical Study

Creator:

Ahmed, Nahian and Hutchinson, Rebecca A.

Abstract:

A variety of important machine learning applications require predictions on test data with different characteristics than the data on which a model was trained and validated. In particular, test data may have a different relative frequency of positives and negatives (i.e., class distribution) and/or different mislabeling costs of false positive...

Resource Type:

Technical Report

Full Text:

Electrical Engineering and Computer Science Oregon State University Rebecca A. Hutchinson rah
Understanding Software-2.0: A Study of Machine Learning library usage and evolution

Creator:

Dilhara, Malinda, Ketkar, Ameya, and Dig, Danny

Abstract:

Enabled by a rich ecosystem of Machine Learning (ML) libraries, programming using learned models, i.e., Software-2.0, has gained substantial adoption. However, we do not know what challenges developers encounter when they use ML libraries. With this knowledge gap, researchers miss opportunities to contribute to new research directions, tool builders do...

Resource Type:

Research Paper

Full Text:

Understanding Software-2.0: A Study of Machine
Analysis and history of the Oregon otter-trawl fishery

Creator:

Harry, George Yost, 1919-

Abstract:

The objective of the thesis is to present data upon which the management of the Oregon otter-trawl fishery can be based. In addition, a history of the Oregon trawl fishery is presented. A summary of gear development by many of the vessels in the Oregon fleet is presented in table...

Resource Type:

Dissertation

Full Text:

, 111 AN ANDMACT of A thesis submitted for the degree of LoCTOR OF PflILOSOPHY OF 4IALAIINUTOL 1956