Index Catalog // ScholarsArchive@OSU

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

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

Numerical considerations on Fibonacci numbers of order r

Creator:: Capocelli, Renato M., Cerbone, Giuseppe, and Cull, Paul
Abstract:: Recently generalized Fibonacci numbers have received increasing attention. Some properties that are well known for traditional Fibonacci numbers do not generalize easily, some others do not generalize at all. In this paper we report some properties that we have generalized. Section 1 introduces the notation and a theorem due to...
Resource Type:: Technical Report
Full Text:: Universita' di Salerno Salerno, Italy 84100 Giuseppe Cerbone Department of Computer Science Oregon

A Geostrophic Adjustment Model of Two Buoyant Fluids

Creator:: Cenedese, Claudia, Lerczak, James A., and Bartone, Giuseppe
Abstract:: See article for Abstract.
Resource Type:: Article
Full Text:: , Oregon State University, Corvallis, Oregon GIUSEPPE BARTONE Department of Civil, Building, and

Fibonacci facts and formulas

Creator:: Capocelli, R. M., Cerbone, G., Cull, Paul, and Holloway, J. L.
Abstract:: We investigate several methods of computing Fibonacci numbers quickly and generalize some properties of the Fibonacci numbers to degree r Fibonacci (R-nacci) numbers. Sections 2 and 3 present several algorithms for computing the traditional, degree two, Fibonacci numbers quickly. Sections 4 and 5 investigate the structure of the binary representation...
Resource Type:: Technical Report
Full Text:: 84100 G. Cerbone P. Cull J. L. Ho 11 oway Department of Computer Science Oregon State University

Methane flux of miniseepage in mud volcanoes of SW Taiwan: Comparison with the data from Europe and Azerbaijan

Creator:: Hong, Wei-Li, Etiope, Giuseppe, Yang, Tsanyao Frank, and Chang, Ping-Yu
Abstract:: Mud volcanoes (MVs) are considered as important methane (CH₄) sources for the atmosphere; gas is not only released from macroseepage, i.e., from craters and visible gas bubbling manifestations, but also from invisible and pervasive exhalation from the ground, named miniseepage. CH₄ flux related to miniseepage was measured only in a...
Resource Type:: Article
Full Text:: , Giuseppe Etiope 2 , Tsanyao Frank Yang 1 , Ping-Yu Chang 3 4 1. Department of Geosciences, National

Focus on forestry ; Winter 2003

Creator:: Oregon State University. College of Forestry
Abstract:: Magazine of the OSU College of Forestry.
Resource Type:: Other
Full Text:: . Russell G . Dix '62 Assoc. Registrar (emeritus) Oregon State University To the Editor: I just

Varieties of operationality

Creator:: Dietterich, Thomas G. and Bennett, James S.
Abstract:: In recent papers on machine learning, the term 'operationalization' has been used to describe the purpose of the learning process. In particular, explanation-based learning systems are said to 'operationalize' the given target concept. Unfortunately, the exact meaning of this term has varied from one paper to another, and frequently the...
Resource Type:: Technical Report
Full Text:: Operationality Thomas G. Dietterich Department of Computer Science Oregon State University Corvallis

Induction over explanations : a method that exploits domain knowledge to learn from examples

Creator:: Flann, Nicholas S. and Dietterich, Thomas G.
Abstract:: We introduce five criteria by which to judge the suitability of a method for solving the problem of learning concepts from examples: correctness (the correct concept should be identified), performance efficiency (the learned definition should be efficient to apply to the performance task), flexibility (the method should be able to...
Resource Type:: Technical Report
Full Text:: Method that Exploits Do~ain Knowledge to Learn from Examples Nicholas S. Flann Thomas G. Dietterich

A study of explanation-based methods for inductive learning

Creator:: Flann, Nicholas S. and Dietterich, Thomas G.
Abstract:: This paper formalizes a new learning from examples problem: identifying a correct concept definition from positive examples such that the concept is some specialization of a target concept defined by a domain theory. This paper describes an empirical study that evaluates three methods for solving this problem: explanation based generalization...
Resource Type:: Technical Report
Full Text:: -Based Methods for I~ductive Learning Nicholas S. Flann Thomas G. Dietterich Department of Computer

ScholarsArchive@OSU

Learning optimal search control for engineering optimization

Inductive and numerical methods in knowledge compilation

Numerical considerations on Fibonacci numbers of order r

A Geostrophic Adjustment Model of Two Buoyant Fluids

Fibonacci facts and formulas

Methane flux of miniseepage in mud volcanoes of SW Taiwan: Comparison with the data from Europe and Azerbaijan

Focus on forestry ; Winter 2003

Varieties of operationality

Induction over explanations : a method that exploits domain knowledge to learn from examples

A study of explanation-based methods for inductive learning

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