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Example Implementation

by David Millard, Yvonne Howard, Hull
"... – Part of the e-Framework effort – Aim to produce a Reference Model of the e-Learning Assessment Domain – To aid interoperability and aid in the creation of Assessment Services for the e-Framework What is a Reference Model for Assessment? – Assessment is a broad and complex domain – Not enough to de ..."
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to describe and define a set of services – Need a proper audit trail of decision making – Start by defining the domain – Work up through use cases to services (and example

Domain names - Implementation and Specification

by P. Mockapetris - RFC-883, USC/Information Sciences Institute , 1983
"... This RFC describes the details of the domain system and protocol, and assumes that the reader is familiar with the concepts discussed in a companion RFC, "Domain Names- Concepts and Facilities " [RFC-1034]. The domain system is a mixture of functions and data types which are an official pr ..."
Abstract - Cited by 725 (9 self) - Add to MetaCart
cautioned not to depend on the values which appear in examples to be current or complete, since their purpose is

Improving generalization with active learning

by David Cohn, Richard Ladner, Alex Waibel - Machine Learning , 1994
"... Abstract. Active learning differs from "learning from examples " in that the learning algorithm assumes at least some control over what part of the input domain it receives information about. In some situations, active learning is provably more powerful than learning from examples ..."
Abstract - Cited by 544 (1 self) - Add to MetaCart
alone, giving better generalization for a fixed number of training examples. In this article, we consider the problem of learning a binary concept in the absence of noise. We describe a formalism for active concept learning called selective sampling and show how it may be approximately implemented by a

Approximate Signal Processing

by S. Hamid Nawab, Alan V. Oppenheim, Anantha P. Chandrakasan, Joseph M. Winograd, Jeffrey T. Ludwig , 1997
"... It is increasingly important to structure signal processing algorithms and systems to allow for trading off between the accuracy of results and the utilization of resources in their implementation. In any particular context, there are typically a variety of heuristic approaches to managing these tra ..."
Abstract - Cited by 538 (2 self) - Add to MetaCart
It is increasingly important to structure signal processing algorithms and systems to allow for trading off between the accuracy of results and the utilization of resources in their implementation. In any particular context, there are typically a variety of heuristic approaches to managing

A Sentimental Education: Sentiment Analysis Using Subjectivity Summarization Based on Minimum Cuts

by Bo Pang , Lillian Lee - PROCEEDINGS OF THE ACL , 2004
"... Sentiment analysis seeks to identify the viewpoint(s) underlying a text span; an example application is classifying a movie review as “thumbs up” or “thumbs down”. To determine this sentiment polarity, we propose a novel machine-learning method that applies text-categorization techniques to just the ..."
Abstract - Cited by 618 (7 self) - Add to MetaCart
Sentiment analysis seeks to identify the viewpoint(s) underlying a text span; an example application is classifying a movie review as “thumbs up” or “thumbs down”. To determine this sentiment polarity, we propose a novel machine-learning method that applies text-categorization techniques to just

A Maximum Entropy approach to Natural Language Processing

by Adam L. Berger, Stephen A. Della Pietra , Vincent J. Della Pietra - COMPUTATIONAL LINGUISTICS , 1996
"... The concept of maximum entropy can be traced back along multiple threads to Biblical times. Only recently, however, have computers become powerful enough to permit the widescale application of this concept to real world problems in statistical estimation and pattern recognition. In this paper we des ..."
Abstract - Cited by 1366 (5 self) - Add to MetaCart
describe a method for statistical modeling based on maximum entropy. We present a maximum-likelihood approach for automatically constructing maximum entropy models and describe how to implement this approach efficiently, using as examples several problems in natural language processing.

The CN2 Induction Algorithm

by Peter Clark , Tim Niblett - MACHINE LEARNING , 1989
"... Systems for inducing concept descriptions from examples are valuable tools for assisting in the task of knowledge acquisition for expert systems. This paper presents a description and empirical evaluation of a new induction system, cn2, designed for the efficient induction of simple, comprehensib ..."
Abstract - Cited by 890 (6 self) - Add to MetaCart
Systems for inducing concept descriptions from examples are valuable tools for assisting in the task of knowledge acquisition for expert systems. This paper presents a description and empirical evaluation of a new induction system, cn2, designed for the efficient induction of simple

Monitors: An Operating System Structuring Concept

by C. A. R Hoare - Communications of the ACM , 1974
"... This is a digitized copy derived from an ACM copyrighted work. It is not guaranteed to be an accurate copy of the author's original work. This paper develops Brinch-Hansen's concept of a monitor as a method of structuring an operating system. It introduces a form of synchronization, descri ..."
Abstract - Cited by 566 (0 self) - Add to MetaCart
, describes a possible rnctltotl of implementation in terms of semaphorcs and gives a suitable proof rule. Illustrative examples include a single rcsourcc scheduler, a bounded buffer, an alarm clock, a buffer pool, a disk head optimizer, and a version of the problem of readers and writers. Key Words

AgentSpeak(L): BDI Agents speak out in a logical computable language

by Anand S. Rao , 1996
"... Belief-Desire-Intention (BDI) agents have been investigated by many researchers from both a theoretical specification perspective and a practical design perspective. However, there still remains a large gap between theory and practice. The main reason for this has been the complexity of theorem-prov ..."
Abstract - Cited by 514 (2 self) - Add to MetaCart
-proving or model-checking in these expressive specification logics. Hence, the implemented BDI systems have tended to use the three major attitudes as data structures, rather than as modal operators. In this paper, we provide an alternative formalization of BDI agents by providing an operational and proof

Generative communication in Linda

by David Gelernter - ACM Transactions on Programming Languages and Systems , 1985
"... Generative communication is the basis of a new distributed programming langauge that is intended for systems programming in distributed settings generally and on integrated network computers in particular. It differs from previous interprocess communication models in specifying that messages be adde ..."
Abstract - Cited by 1194 (2 self) - Add to MetaCart
distributed in space and distributed in time; it allows distributed sharing, continuation passing, and structured naming. We discuss these properties and their implications, then give a series of examples. Linda presents novel implementation problems that we discuss in Part II. We are particularly concerned
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