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Results 1 - 10
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81,283
Fundamental Design Issues for the Future Internet
- 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
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Cited by 471 (3 self)
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design issues facing the future Internet. In particular, we discuss whether the Internet should adopt a new service model, how this service model should be invoked, and whether this service model should include admission control. These architectural issues are discussed in a nonrigorous manner
The Resurrecting Duckling: Security Issues for Ad-hoc Wireless Networks
, 1999
"... In the near future, many personal electronic devices will be able to communicate with each other over a short range wireless channel. We investigate ..."
Abstract
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Cited by 601 (13 self)
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In the near future, many personal electronic devices will be able to communicate with each other over a short range wireless channel. We investigate
Image retrieval: Current techniques, promising directions and open issues
- Journal of Visual Communication and Image Representation
, 1999
"... This paper provides a comprehensive survey of the technical achievements in the research area of image retrieval, especially content-based image retrieval, an area that has been so active and prosperous in the past few years. The survey includes 100+ papers covering the research aspects of image fea ..."
Abstract
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Cited by 507 (15 self)
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feature representation and extraction, multidimensional indexing, and system design, three of the fundamental bases of content-based image retrieval. Furthermore, based on the state-of-the-art technology available now and the demand from real-world applications, open research issues are identified
A Survey on Transfer Learning
"... A major assumption in many machine learning and data mining algorithms is that the training and future data must be in the same feature space and have the same distribution. However, in many real-world applications, this assumption may not hold. For example, we sometimes have a classification task i ..."
Abstract
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Cited by 459 (24 self)
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. In this survey, we discuss the relationship between transfer learning and other related machine learning techniques such as domain adaptation, multitask learning and sample selection bias, as well as co-variate shift. We also explore some potential future issues in transfer learning research.
The Construct of Resilience: A Critical Evaluation and Guidelines for Future Work.
- Child Development,
, 2000
"... This paper presents a critical appraisal of resilience, a construct connoting the maintenance of positive adaptation by individuals despite experiences of significant adversity. As empirical research on resilience has burgeoned in recent years, criticisms have been levied at work in this area. Thes ..."
Abstract
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Cited by 495 (8 self)
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. We address each identified criticism in turn, proposing solutions for those we view as legitimate and clarifying misunderstandings surrounding those we believe to be less valid. We conclude that work on resilience possesses substantial potential for augmenting the understanding of processes affecting
Affective Computing
, 1995
"... Recent neurological studies indicate that the role of emotion in human cognition is essential; emotions are not a luxury. Instead, emotions play a critical role in rational decision-making, in perception, in human interaction, and in human intelligence. These facts, combined with abilities computers ..."
Abstract
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Cited by 1909 (43 self)
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computers are acquiring in expressing and recognizing affect, open new areas for research. This paper defines key issues in "affective computing," computing that relates to, arises from, or deliberately influences emotions. New models are suggested for computer recognition of human emotion
Design and Implementation or the Sun Network Filesystem
, 1985
"... this paper we discuss the design and implementation of the/'fiesystem interface in the kernel and the NF$ virtual/'fiesystem. We describe some interesting design issues and how they were resolved, and point out some of the shortcomings of the current implementation. We conclude with some i ..."
Abstract
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Cited by 502 (0 self)
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this paper we discuss the design and implementation of the/'fiesystem interface in the kernel and the NF$ virtual/'fiesystem. We describe some interesting design issues and how they were resolved, and point out some of the shortcomings of the current implementation. We conclude with some
From Data Mining to Knowledge Discovery in Databases.
- AI Magazine,
, 1996
"... ■ Data mining and knowledge discovery in databases have been attracting a significant amount of research, industry, and media attention of late. What is all the excitement about? This article provides an overview of this emerging field, clarifying how data mining and knowledge discovery in database ..."
Abstract
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Cited by 538 (0 self)
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is discussed in more detail in the context of specific data-mining algorithms and their application. Real-world practical application issues are also outlined. Finally, the article enumerates challenges for future research and development and in particular discusses potential opportunities for AI technology
Corporate Financing and Investment Decisions when Firms Have Information that Investors Do Not Have
, 1984
"... This paper considers a firm that must issue common stock to raise cash to undertake a valuable investment opportunity. Management is assumed to know more about the firm’s value than potential investors. Investors interpret the firm’s actions rationally. An. equilibrium mode1 of the issue-invest deci ..."
Abstract
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Cited by 2602 (7 self)
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This paper considers a firm that must issue common stock to raise cash to undertake a valuable investment opportunity. Management is assumed to know more about the firm’s value than potential investors. Investors interpret the firm’s actions rationally. An. equilibrium mode1 of the issue
Selection of relevant features and examples in machine learning
- ARTIFICIAL INTELLIGENCE
, 1997
"... In this survey, we review work in machine learning on methods for handling data sets containing large amounts of irrelevant information. We focus on two key issues: the problem of selecting relevant features, and the problem of selecting relevant examples. We describe the advances that have been mad ..."
Abstract
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Cited by 606 (2 self)
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In this survey, we review work in machine learning on methods for handling data sets containing large amounts of irrelevant information. We focus on two key issues: the problem of selecting relevant features, and the problem of selecting relevant examples. We describe the advances that have been
Results 1 - 10
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81,283
