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Creator:: Oregon State College. Agricultural Experiment Station, Knowlton, Frank L. (Frank Lester), 1894-1940, and Oregon State Agricultural College. Poultry Department
Abstract:: Published January 1931. Facts and recommendations in this publication may no longer be valid. Please look for up-to-date information in the OSU Extension Catalog: http://extension.oregonstate.edu/catalog
Resource Type:: Technical Report
Full Text:: -P-P Cd ,S4 ci) Houze No. Variety Month Year OREGON AGRICULTURAL COLLEGE Poultry Department

Creator:: Oregon State University. Agricultural Experiment Station, Oregon State University. Cooperative Extension Service, Oregon State University. Department of Animal Sciences, Oregon State University. Poultry Science Department, Oregon State University. Farm Crops Department, and Oregon State University. Department of Agricultural Economics
Abstract:: Published April 1963. Facts and recommendations in this publication may no longer be valid. Please look for up-to-date information in the OSU Extension Catalog: http://extension.oregonstate.edu/catalog
Resource Type:: Technical Report
Full Text:: prepared by staff in Animal Science, Poultry Science, Farm Crops and Agricultural Economics, Oregon State

Creator:: Oregon State University. Dept. of Computer Science and Dietterich, Thomas Glen
Abstract:: Summary: Four proposed metrics: [1] average relative reduction in training time (sample size, number of training experiences) [2] jumpstart (initial advantage of transfer algorithm) [3] handicap (how long it takes the no-transfer algorithm to overcome the jumpstart) [4] asymptotic advantage (how much better the transfer learning algorithm does in the...
Resource Type:: Research Paper

Creator:: Rajaram, Vidya and Oregon State University. Dept. of Computer Science
Resource Type:: Research Paper
Full Text:: for accessing local resources for a standard Windows system Vidya Rajaram Oregon State

Creator:: Oregon State University. Dept. of Computer Science and Natarajan, Sandeep
Abstract:: Collaborative filtering (CF) algorithms are used in a wide range of internet applications. However the chief objective of using CF algorithms across most of these applications is to discover items that might be of interest to its users. CF algorithms work by obtaining feedback from users on the items that...
Resource Type:: Research Paper
Full Text:: Engineering and Computer Science Oregon State University. Major Professor: Dr. Jonathan L. Herlocker

Creator:: Oregon State University. Dept. of Computer Science and Shen, Jianqiang
Abstract:: This paper surveys the activity recognition task from a machine learning perspective. I give a definition of this problem, and I classify different activity recognition problems into two categories. I show the activities can be hierarchical, and based on such hierarchies I synthesize a language to describe activities. I give...
Resource Type:: Research Paper
Full Text:: . Activity recognition will play an important role in our lives. In Computer Science, perhaps the earliest

Creator:: Oregon State University. Dept. of Computer Science and Budd, Timothy
Abstract:: In 1995 my students and I developed Leda, a multiparadigm language based on the Pascal model. Leda allowed programmers to create abstractions in an object-oriented, functional, or logic programming style. More recently we have been interested in recreating this work, but this time using Java as the language basis. The...
Resource Type:: Research Paper
Full Text:: of Computer Science Oregon State University Corvallis, Oregon, USA November 1, 2000 Abstract In

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

Creator:: Oregon State University. Dept. of Computer Science and Dietterich, Thomas Glen
Abstract:: What is the relationship between learning and reasoning? Much recent work in machine learning has been criticized for focusing on learning and ignoring reasoning. This paper attempts to describe the various ways in which machine learning research has (and has not) incorporated reasoning. The paper argues that there are important...
Resource Type:: Research Paper
Full Text:: Learning and Reasoning Thomas G. Dietterich Department of Computer Science Oregon State University

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