Results 1 - 10 of 16,255

The weighted majority algorithm

by Nick Littlestone, Manfred K. Warmuth , 1992
"... We study the construction of prediction algorithms in a situation in which a learner faces a sequence of trials, with a prediction to be made in each, and the goal of the learner is to make few mistakes. We are interested in the case that the learner has reason to believe that one of some pool of kn ..."
Abstract - Cited by 877 (43 self) - Add to MetaCart
We study the construction of prediction algorithms in a situation in which a learner faces a sequence of trials, with a prediction to be made in each, and the goal of the learner is to make few mistakes. We are interested in the case that the learner has reason to believe that one of some pool

Plans And Resource-Bounded Practical Reasoning

by Michael E. Bratman, David J. Israel, Martha E. Pollack - COMPUTATIONAL INTELLIGENCE, 4(4):349-355, 1988 , 1988
"... An architecture for a rational agent must allow for means-end reasoning, for the weighing of competing alternatives, and for interactions between these two forms of reasoning. Such an architecture must also address the problem of resource boundedness. We sketch a solution of the first problem that p ..."
Abstract - Cited by 488 (19 self) - Add to MetaCart
that points the way to a solution of the second. In particular, we present a high-level specification of the practical-reasoning component of an architecture for a resource-bounded rational agent. In this architecture, a major role of the agent's plans is to constrain the amount of further practical

On the acceptability of arguments and its fundamental role in nonmonotonic reasoning, logic programming and n-person games

by Phan Minh Dung - Artificial Intelligence , 1995
"... The purpose of this paper is to study the fundamental mechanism humans use in argumentation and its role in different major approaches to commonsense reasoning in AI and logic programming. We present three novel results: We develop a theory for argumentation in which the acceptability of arguments i ..."
Abstract - Cited by 1198 (12 self) - Add to MetaCart
The purpose of this paper is to study the fundamental mechanism humans use in argumentation and its role in different major approaches to commonsense reasoning in AI and logic programming. We present three novel results: We develop a theory for argumentation in which the acceptability of arguments

Cognitive load during problem solving: effects on learning

by John Sweller - COGNITIVE SCIENCE , 1988
"... Considerable evidence indicates that domain specific knowledge in the form of schemes is the primary factor distinguishing experts from novices in problem-solving skill. Evidence that conventional problem-solving activity is not effective in schema acquisition is also accumulating. It is suggested t ..."
Abstract - Cited by 639 (13 self) - Add to MetaCart
that a major reason for the ineffectiveness of problem solving as a learning device, is that the cognitive processes required by the two activities overlap insufficiently, and that conventional problem solving in the form of means-ends analysis requires a relatively large amount of cognitive processing

What Can Economists Learn from Happiness Research?

by Bruno S. Frey, Alois Stutzer - FORTHCOMING IN JOURNAL OF ECONOMIC LITERATURE , 2002
"... Happiness is generally considered to be an ultimate goal in life; virtually everybody wants to be happy. The United States Declaration of Independence of 1776 takes it as a self-evident truth that the “pursuit of happiness” is an “unalienable right”, comparable to life and liberty. It follows that e ..."
Abstract - Cited by 545 (24 self) - Add to MetaCart
that economics is – or should be – about individual happiness. In particular, the question is how do economic growth, unemployment and inflation, as well as institutional factors such as good governance, affect individual well-being? In addition to this intrinsic interest, there are three major reasons

Evaluating the use of exploratory factor analysis in psychological research

by Leandre R. Fabrigar, Duane T. Wegener, Robert C. MacCallum, Erin J. Strahan - PSYCHOLOGICAL METHODS , 1999
"... Despite the widespread use of exploratory factor analysis in psychological research, researchers often make questionable decisions when conducting these analyses. This article reviews the major design and analytical decisions that must be made when conducting a factor analysis and notes that each of ..."
Abstract - Cited by 524 (4 self) - Add to MetaCart
Despite the widespread use of exploratory factor analysis in psychological research, researchers often make questionable decisions when conducting these analyses. This article reviews the major design and analytical decisions that must be made when conducting a factor analysis and notes that each

Boosting and differential privacy

by Cynthia Dwork, Guy N. Rothblum, Salil Vadhan , 2010
"... Boosting is a general method for improving the accuracy of learning algorithms. We use boosting to construct improved privacy-preserving synopses of an input database. These are data structures that yield, for a given set Q of queries over an input database, reasonably accurate estimates of the resp ..."
Abstract - Cited by 648 (14 self) - Add to MetaCart
Boosting is a general method for improving the accuracy of learning algorithms. We use boosting to construct improved privacy-preserving synopses of an input database. These are data structures that yield, for a given set Q of queries over an input database, reasonably accurate estimates

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
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

Model Checking Programs

by Willem Visser, Klaus Havelund, GUILLAUME BRAT, SEUNGJOON PARK, FLAVIO LERDA , 2003
"... The majority of work carried out in the formal methods community throughout the last three decades has (for good reasons) been devoted to special languages designed to make it easier to experiment with mechanized formal methods such as theorem provers, proof checkers and model checkers. In this pape ..."
Abstract - Cited by 592 (63 self) - Add to MetaCart
The majority of work carried out in the formal methods community throughout the last three decades has (for good reasons) been devoted to special languages designed to make it easier to experiment with mechanized formal methods such as theorem provers, proof checkers and model checkers

Compressed sensing

by Yaakov Tsaig, David L. Donoho , 2004
"... We study the notion of Compressed Sensing (CS) as put forward in [14] and related work [20, 3, 4]. The basic idea behind CS is that a signal or image, unknown but supposed to be compressible by a known transform, (eg. wavelet or Fourier), can be subjected to fewer measurements than the nominal numbe ..."
Abstract - Cited by 3625 (22 self) - Add to MetaCart
norm. We perform a series of numerical experiments which validate in general terms the basic idea proposed in [14, 3, 5], in the favorable case where the transform coefficients are sparse in the strong sense that the vast majority are zero. We then consider a range of less-favorable cases, in which
Results 1 - 10 of 16,255