This compilation by the School of Oceanography of Oregon State University lists in chronological order the oceanographic reports published in 1977. It also lists theses for which degrees were awarded in 1977. This is the fourth annual update of our reference 74-1 which brought together a listing of all the...
This compilation by the School of Oceanography of Oregon State University lists in chronological order the oceanographic reports published in 1975 and 1976. It also lists theses for which degrees were awarded in 1976. This is the third annual update of our reference 74-1 which brought together a listing of...
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...
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...
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...
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....
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...