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Transparent Process Migration: Design Alternatives and the Sprite Implementation

by Fred Douglis, John Ousterhout - Software - Practice and Experience , 1991
"... this paper is a description of our implementation and our experiences using it ..."
Abstract - Cited by 287 (5 self) - Add to MetaCart
this paper is a description of our implementation and our experiences using it

Design Alternatives

by Andrew Liu, Yi Feng, Kevin Jing , 2011
"... O RLY? Software ..."
Abstract - Add to MetaCart
O RLY? Software

Toward Principles for the Design of Ontologies Used for Knowledge Sharing

by Thomas R. Gruber - IN FORMAL ONTOLOGY IN CONCEPTUAL ANALYSIS AND KNOWLEDGE REPRESENTATION, KLUWER ACADEMIC PUBLISHERS, IN PRESS. SUBSTANTIAL REVISION OF PAPER PRESENTED AT THE INTERNATIONAL WORKSHOP ON FORMAL ONTOLOGY , 1993
"... Recent work in Artificial Intelligence is exploring the use of formal ontologies as a way of specifying content-specific agreements for the sharing and reuse of knowledge among software entities. We take an engineering perspective on the development of such ontologies. Formal ontologies are viewed a ..."
Abstract - Cited by 2003 (3 self) - Add to MetaCart
are applied in case studies from the design of ontologies for engineering mathematics and bibliographic data. Selected design decisions are discussed, and alternative representation choices and evaluated against the design criteria.

K-SVD: An Algorithm for Designing Overcomplete Dictionaries for Sparse Representation

by Michal Aharon, et al. , 2006
"... In recent years there has been a growing interest in the study of sparse representation of signals. Using an overcomplete dictionary that contains prototype signal-atoms, signals are described by sparse linear combinations of these atoms. Applications that use sparse representation are many and inc ..."
Abstract - Cited by 935 (41 self) - Add to MetaCart
and include compression, regularization in inverse problems, feature extraction, and more. Recent activity in this field has concentrated mainly on the study of pursuit algorithms that decompose signals with respect to a given dictionary. Designing dictionaries to better fit the above model can be done

Fundamental Design Issues for the Future Internet

by Scott Shenker - IEEE JOURNAL ON SELECTED AREAS IN COMMUNICATIONS , 1995
"... The Internet has been a startling and dramatic success. However, multimedia applications, with their novel traffic characteristics and service requirements, pose an interesting challenge to the technical foundations of the Internet. In this paper we address some of the fundamental architectural d ..."
Abstract - Cited by 471 (3 self) - Add to MetaCart
, through the use of a utility function formulation and some simple models. While we do advocate some design choices over others, the main purpose here is to provide a framework for discussing the various architectural alternatives.

Simultaneous Multithreading: Maximizing On-Chip Parallelism

by Dean M. Tullsen , Susan J. Eggers, Henry M. Levy , 1995
"... This paper examines simultaneous multithreading, a technique permitting several independent threads to issue instructions to a superscalar’s multiple functional units in a single cycle. We present several models of simultaneous multithreading and compare them with alternative organizations: a wide s ..."
Abstract - Cited by 823 (48 self) - Add to MetaCart
, it can add substantial complexity to the design. We examine many of these complexities and evaluate alternative organizations in the design space.

Initial Conditions and Moment Restrictions in Dynamic Panel Data Models

by Richard Blundell, Stephen Bond - Journal of Econometrics , 1998
"... Estimation of the dynamic error components model is considered using two alternative linear estimators that are designed to improve the properties of the standard firstdifferenced GMM estimator. Both estimators require restrictions on the initial conditions process. Asymptotic efficiency comparisons ..."
Abstract - Cited by 2393 (16 self) - Add to MetaCart
Estimation of the dynamic error components model is considered using two alternative linear estimators that are designed to improve the properties of the standard firstdifferenced GMM estimator. Both estimators require restrictions on the initial conditions process. Asymptotic efficiency

On the Criteria To Be Used in Decomposing Systems into Modules

by D. L. Parnas - Communications of the ACM , 1972
"... This paper discusses modularization as a mechanism for improving the flexibility and comprehensibility of a system while allowing the shortening of its development time. The effectiveness of a “modularization ” is dependent upon the criteria used in dividing the system into modules. A system design ..."
Abstract - Cited by 1585 (16 self) - Add to MetaCart
This paper discusses modularization as a mechanism for improving the flexibility and comprehensibility of a system while allowing the shortening of its development time. The effectiveness of a “modularization ” is dependent upon the criteria used in dividing the system into modules. A system design

Pad++: A zooming graphical interface for exploring alternate interface physics

by Benjamin B. Bederson, James D. Hollun - In Proceedings of User Interface and Software Technology , 1994
"... information visualization, information physics. We describe the current status of Pad++, a zooming graphical interface that we are exploring as an alternative to tradhional window and icon-based approaches to interface design. We discuss the motivation for Pad++, describe the implementation, and pre ..."
Abstract - Cited by 442 (17 self) - Add to MetaCart
information visualization, information physics. We describe the current status of Pad++, a zooming graphical interface that we are exploring as an alternative to tradhional window and icon-based approaches to interface design. We discuss the motivation for Pad++, describe the implementation

Training Linear SVMs in Linear Time

by Thorsten Joachims , 2006
"... Linear Support Vector Machines (SVMs) have become one of the most prominent machine learning techniques for high-dimensional sparse data commonly encountered in applications like text classification, word-sense disambiguation, and drug design. These applications involve a large number of examples n ..."
Abstract - Cited by 549 (6 self) - Add to MetaCart
Linear Support Vector Machines (SVMs) have become one of the most prominent machine learning techniques for high-dimensional sparse data commonly encountered in applications like text classification, word-sense disambiguation, and drug design. These applications involve a large number of examples n
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