Index Catalog // ScholarsArchive@OSU

Organic pesticide modification of the species interactions in an annual plant community

Creator:: Pfleeger, Thomas G.
Resource Type:: Masters Thesis
Full Text:: interactions in an annual plant community AN ABSTRACT OF THE THESIS OF Thomas G. Pfleeger for the degree of

Effects of single and multiple stressors on communities of wheat and wild oats

Creator:: Pfleeger, Thomas G.
Abstract:: Most plant toxicology tests developed in support of environmental laws use a single stress applied to an individual plant. While tests using individual species or stresses require fewer resources and are easier to interpret, they are under increasing criticism for being unrealistic and missing important ecological interactions. The objective of...
Resource Type:: Dissertation
Full Text:: wheat and wild oats AN ABSTRACT OF THE THESIS OF Thomas G. Pfleeger for the degree of Doctor of

Editorial : exploratory research in machine learning

Creator:: Dietterich, Thomas G.
Abstract:: Exploratory research contributes to the continued vitality of every discipline. The aim of exploratory research is to identify new tasks-tasks that cannot be solved by existing methods. Once a new task has been found, exploratory research seeks to develop a precise definition of the task and to understand the factors...
Resource Type:: Technical Report
Full Text:: . Thomas G. Dietterich Editor Department of Computer Science Oregon State University References

Results of trapping ascospores of Venturia pirina during rainfall periods in Mendocino County, California 1989-1997

Creator:: Zoller, Broc G., Thomas, S., and Thomas, J.
Resource Type:: Conference Proceeding
Full Text:: OF VENTURIA PIRINA DURING RAINFALL PERIODS IN MENDOCINOCOUNTY, CALIFORNIA 1989-1997 B. G. Zoller S

Comparison of capture of ascospores of Venturia pirina with the temperature of wetness of rains in Mendocino County, California 1998

Creator:: Zoller, Broc G., Thomas, S., and Thomas, J.
Resource Type:: Conference Proceeding
Full Text:: P E D £ 8 8 1 % , \ i t 8 1 ty i C D "T J O DO m CD g DD g o ° ° < CD a m Q D O m m I O N J

On learning more concepts

Creator:: Almuallim, Hussein and Dietterich, Thomas G.
Abstract:: The coverage of a learning algorithm is the number of concepts that can be learned by that algorithm from samples of a given size. This paper asks whether good learning algorithms can be designed by maximizing their coverage. The paper extends a previous upper bound on the coverage of any...
Resource Type:: Technical Report
Full Text:: Concepts Hussein Almuallim Thomas G. Oietterich Department of Computer Science Oregon State

Learning optimal search control for engineering optimization

Creator:: Cerbone, Giuseppe and Dietterich, Thomas G.
Abstract:: This paper applies learning techniques to make engineering optimization more efficient and reliable. When the function to be optimized is highly non-linear, the search space generally forms several disjoint convex regions . Unless gradient-descent search is begun in the right region, the solution found will be suboptimal. This paper formalizes...
Resource Type:: Technical Report
Full Text:: Engineering Optimization Giuseppe Cerbone Thomas G. Dietterich Oregon State University Computer Science

Error-correcting output codes : a general method for improving multiclass inductive learning programs

Creator:: Dietterich, Thomas G. and Bakiri, Ghulum
Abstract:: Multiclass learning problems involve finding a definition for an unknown function f(x) whose range is a discrete set containing k > 2 values (i.e., k "classes") . The definition is acquired by studying large collections of training examples of the form (xi, f(xi)) . Existing approaches to this problem include...
Resource Type:: Technical Report
Full Text:: General Method for Improving Multiclass Inductive Learning Programs Thomas G. Dietterich Ghulum

Inductive and numerical methods in knowledge compilation

Creator:: Cerbone, Giuseppe and Dietterich, Thomas G.
Abstract:: Many important application problems can be formalized as constrained non-linear optimization tasks. However, numerical methods for solving such problems are brittle and do not scale well. Furthermore, they do not provide much insight into the structure of the problem space. This paper describes a method for discovering efficient rules that...
Resource Type:: Technical Report
Full Text:: Methods in Knowledge Comp\lation Giuseppe Cerbone Thomas G. Dietterich Computer Science Department

Efficient algorithms for identifying relevant features

Creator:: Almuallim, Hussein and Dietterich, Thomas G.
Abstract:: This paper describes efficient methods for exact and approximate implementation of the MIN-FEATURES bias, which prefers consistent hypotheses definable over as few features as possible. This bias is useful for learning domains where many irrelevant features are present in the training data. We first introduce FOCUS-2, a new algorithm that...
Resource Type:: Technical Report
Full Text:: for Identifying Relevant Features Hussein Almuallim Thomas G. Oietterich Department of Computer

ScholarsArchive@OSU

Organic pesticide modification of the species interactions in an annual plant community

Effects of single and multiple stressors on communities of wheat and wild oats

Editorial : exploratory research in machine learning

Results of trapping ascospores of Venturia pirina during rainfall periods in Mendocino County, California 1989-1997

Comparison of capture of ascospores of Venturia pirina with the temperature of wetness of rains in Mendocino County, California 1998

On learning more concepts

Learning optimal search control for engineering optimization

Error-correcting output codes : a general method for improving multiclass inductive learning programs

Inductive and numerical methods in knowledge compilation

Efficient algorithms for identifying relevant features

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