Results 1 - 10 of 4,934

Just Relax: Convex Programming Methods for Identifying Sparse Signals in Noise

by Joel A. Tropp , 2006
"... This paper studies a difficult and fundamental problem that arises throughout electrical engineering, applied mathematics, and statistics. Suppose that one forms a short linear combination of elementary signals drawn from a large, fixed collection. Given an observation of the linear combination that ..."
Abstract - Cited by 483 (2 self) - Add to MetaCart
. This paper studies a method called convex relaxation, which attempts to recover the ideal sparse signal by solving a convex program. This approach is powerful because the optimization can be completed in polynomial time with standard scientific software. The paper provides general conditions which ensure

Forward models: Supervised learning with a distal teacher

by Michael I. Jordan, David E. Rumelhart - Cognitive Science , 1992
"... Internal models of the environment have an important role to play in adaptive systems in general and are of particular importance for the supervised learning paradigm. In this paper we demonstrate that certain classical problems associated with the notion of the \teacher " in supervised lea ..."
Abstract - Cited by 421 (9 self) - Add to MetaCart
Internal models of the environment have an important role to play in adaptive systems in general and are of particular importance for the supervised learning paradigm. In this paper we demonstrate that certain classical problems associated with the notion of the \teacher " in supervised

Implicit learning and tacit knowledge

by Arthur S. Reber - Journal of Experimental Psychology: General , 1989
"... I examine the phenomenon of implicit learning, the process by which knowledge about the rale-governed complexities of the stimulus environment is acquired independently of conscious attempts to do so. Our research with the two, seemingly disparate experimental paradigms of synthetic grammar learning ..."
Abstract - Cited by 425 (1 self) - Add to MetaCart
I examine the phenomenon of implicit learning, the process by which knowledge about the rale-governed complexities of the stimulus environment is acquired independently of conscious attempts to do so. Our research with the two, seemingly disparate experimental paradigms of synthetic grammar

Intrusion Detection using Sequences of System Calls

by Steven A. Hofmeyr, Stephanie Forrest, Anil Somayaji - Journal of Computer Security , 1998
"... A method is introducted for detecting intrusions at the level of privileged processes. Evidence is given that short sequences of system calls executed by running processes are a good discriminator between normal and abnormal operating characteristics of several common UNIX programs. Normal behavio ..."
Abstract - Cited by 396 (15 self) - Add to MetaCart
behavior is collected in two ways: Synthetically, by exercising as many normal modes of usage of a program as possible, and in a live user environment by tracing the actual execution of the program. In the former case several types of intrusive behavior were studied; in the latter case, results were

GridSim: A Toolkit for the Modeling and Simulation of Distributed Resource Management and Scheduling for Grid Computing

by Rajkumar Buyya, Manzur Murshed - CONCURRENCY AND COMPUTATION: PRACTICE AND EXPERIENCE (CCPE , 2002
"... Clusters, grids, and peer-to-peer (P2P) networks have emerged as popular paradigms for next generation parallel and distributed computing. They enable aggregation of distributed resources for solving large-scale problems in science, engineering, and commerce. In grid and P2P computing environments, ..."
Abstract - Cited by 375 (64 self) - Add to MetaCart
Clusters, grids, and peer-to-peer (P2P) networks have emerged as popular paradigms for next generation parallel and distributed computing. They enable aggregation of distributed resources for solving large-scale problems in science, engineering, and commerce. In grid and P2P computing environments

External Memory Algorithms and Data Structures

by Jeffrey Scott Vitter , 1998
"... Data sets in large applications are often too massive to fit completely inside the computer's internal memory. The resulting input/output communication (or I/O) between fast internal memory and slower external memory (such as disks) can be a major performance bottleneck. In this paper, we surve ..."
Abstract - Cited by 349 (23 self) - Add to MetaCart
and hierarchical memory. We discuss several important paradigms for how to solve batched and online problems efficiently in external memory. Programming tools and environments are available for simplifying the programming task. The TPIE system (Transparent Parallel I/O programming Environment) is both easy to use

New Paradigms in Problem Solving Environments for Scientific Computing

by George Chin, L. Ruby Leung, Karen Schuchardt, Debbie Gracio
"... Computer and computational scientists at Pacific Northwest National Laboratory (PNNL) are studying and designing collaborative problem solving environments (CPSEs) for scientific computing in various domains. Where most scientific computing efforts focus at the level of the scientific codes, file sy ..."
Abstract - Cited by 3 (0 self) - Add to MetaCart
CPSE prototype that specifies a complete simulation and modeling user environment and a suite of high-level problem solving tools. Keywords Collaborative problem solving environment (CPSE), scientific workflow, visual programming, scientific computing, computational science, participatory analysis

A Market-Oriented Programming Environment and its Application to Distributed Multicommodity Flow Problems

by Michael P. Wellman - Journal of Artificial Intelligence Research , 1993
"... Market price systems constitute a well-understood class of mechanisms that under certain conditions provide effective decentralization of decision making with minimal communication overhead. In a market-oriented programming approach to distributed problem solving, we derive the activities and resour ..."
Abstract - Cited by 299 (20 self) - Add to MetaCart
Market price systems constitute a well-understood class of mechanisms that under certain conditions provide effective decentralization of decision making with minimal communication overhead. In a market-oriented programming approach to distributed problem solving, we derive the activities

SCIRun: A scientific programming environment for computational steering

by Steven G Parker , Christopher R Johnson - In Proc. of Supercomputing 1995 (SC , 1995
"... Abstract We present the design, implementation and application of SCIRun, a scientific programming environment that allows the interactive construction, debugging and steering of large scale scientific computations. Using this "computational workbench," a scientist can design and modify s ..."
Abstract - Cited by 182 (35 self) - Add to MetaCart
. To make the dataflow programming paradigm applicable to large scientific problems, we have identified ways to avoid the excessive memory use inherent in standard dataflow implementations, and have implemented

Genetic Programming: A Paradigm For Genetically Breeding Populations Of Computer Programs To Solve Problems

by John Koza , 1990
"... Many seemingly different problems in artificial intelligence, symbolic processing, and machine learning can be viewed as requiring discovery of a computer program that produces some desired output for particular inputs. When viewed in this way, the process of solving these problems becomes equivalen ..."
Abstract - Cited by 197 (29 self) - Add to MetaCart
are genetically bred using the Darwinian principle of survival of the fittest and using a genetic crossover (recombination) operator appropriate for genetically mating computer programs. In this paper, the process of formulating and solving problems using this new paradigm is illustrated using examples from
Results 1 - 10 of 4,934