Results 1 - 10 of 8,425

Markov Logic Networks

by Matthew Richardson, Pedro Domingos - MACHINE LEARNING , 2006
"... We propose a simple approach to combining first-order logic and probabilistic graphical models in a single representation. A Markov logic network (MLN) is a first-order knowledge base with a weight attached to each formula (or clause). Together with a set of constants representing objects in the ..."
Abstract - Cited by 816 (39 self) - Add to MetaCart
We propose a simple approach to combining first-order logic and probabilistic graphical models in a single representation. A Markov logic network (MLN) is a first-order knowledge base with a weight attached to each formula (or clause). Together with a set of constants representing objects

Motivation through the Design of Work: Test of a Theory. Organizational Behavior and Human Performance,

by ] Richard Hackman , Grec R Oldham , 1976
"... A model is proposed that specifies the conditions under which individuals will become internally motivated to perform effectively on their jobs. The model focuses on the interaction among three classes of variables: (a) the psychological states of employees that must be present for internally motiv ..."
Abstract - Cited by 622 (2 self) - Add to MetaCart
for the results of the work he or she does; MOTIVATION THROUGH DESIGN OF WORK 257 Knowledge of Results. The degree to which the individual knows and understands, on a continuous basis, how effectively he or she is performing the job. Job Dimensions Of the five characteristics of jobs shown in

Taverna: A tool for the composition and enactment of bioinformatics workflows

by Tom Oinn, Matthew Addis, Justin Ferris, Darren Marvin, Tim Carver, Matthew R. Pocock, Anil Wipat - Bioinformatics , 2004
"... *To whom correspondence should be addressed. Running head: Composing and enacting workflows using Taverna Motivation: In silico experiments in bioinformatics involve the co-ordinated use of computational tools and information repositories. A growing number of these resources are being made available ..."
Abstract - Cited by 465 (8 self) - Add to MetaCart
community. The tool includes a workbench application which provides a graphical user interface for the composition of workflows. These workflows are written in a new language called the Simple conceptual unified flow language (Scufl), where by each step within a workflow represents one atomic task. Two

Neuronal Synchrony: A Versatile Code for the Definition of Relations?

by Wolf Singer , 1999
"... temporal relations requires the joint evaluation of responses from more than one neuron, only experiments that permit simultaneous measurements of responses 60528 Frankfurt from multiple units are considered. These include multi-Federal Republic of Germany electrode recordings from multiple individu ..."
Abstract - Cited by 470 (20 self) - Add to MetaCart
individual cells, but also measurements of local field potentials (LFPs) and electroencephalographic (EEG) or magnetoencephalo-Most of our knowledge about the functional organization of neuronal systems is based on the analysis of the firing patterns of individual neurons that have been recorded one by one

Variational algorithms for approximate Bayesian inference

by Matthew J. Beal , 2003
"... The Bayesian framework for machine learning allows for the incorporation of prior knowledge in a coherent way, avoids overfitting problems, and provides a principled basis for selecting between alternative models. Unfortunately the computations required are usually intractable. This thesis presents ..."
Abstract - Cited by 440 (9 self) - Add to MetaCart
The Bayesian framework for machine learning allows for the incorporation of prior knowledge in a coherent way, avoids overfitting problems, and provides a principled basis for selecting between alternative models. Unfortunately the computations required are usually intractable. This thesis presents

WinBUGS -- a Bayesian modelling framework: concepts, structure, and extensibility

by David J. Lunn, Andrew Thomas, Nicky Best, David Spiegelhalter - STATISTICS AND COMPUTING , 2000
"... WinBUGS is a fully extensible modular framework for constructing and analysing Bayesian full probability models. Models may be specified either textually via the BUGS language or pictorially using a graphical interface called DoodleBUGS. WinBUGS processes the model specification and constructs an ob ..."
Abstract - Cited by 430 (6 self) - Add to MetaCart
WinBUGS is a fully extensible modular framework for constructing and analysing Bayesian full probability models. Models may be specified either textually via the BUGS language or pictorially using a graphical interface called DoodleBUGS. WinBUGS processes the model specification and constructs

KEGG: Kyoto Encyclopedia of Genes and Genomes

by Hiroyuki Ogata, Susumu Goto, Kazushige Sato, Wataru Fujibuchi, Hidemasa Bono - Nucl. Acids Res , 1999
"... Kyoto Encyclopedia of Genes and Genomes (KEGG) is a knowledge base for systematic analysis of gene functions in terms of the networks of genes and molecules. The major component of KEGG is the PATHWAY database that consists of graphical diagrams of biochemical pathways including most of the known me ..."
Abstract - Cited by 408 (0 self) - Add to MetaCart
Kyoto Encyclopedia of Genes and Genomes (KEGG) is a knowledge base for systematic analysis of gene functions in terms of the networks of genes and molecules. The major component of KEGG is the PATHWAY database that consists of graphical diagrams of biochemical pathways including most of the known

Artificial Evolution for Computer Graphics

by Karl Sims - Computer Graphics , 1991
"... This paper describes how evolutionary techniques of variation and selection can be used to create complex simulated structures, textures, and motions for use in computer graphics and animation. Interactive selection, based on visual perception of procedurally generated results, allows the user to di ..."
Abstract - Cited by 316 (2 self) - Add to MetaCart
consisting of symbolic expressions are presented as an attempt to surpass the limitations of fixed-length genotypes with predefine expression rules. his proposed that artificial evolution has potential as a powerful tool for achieving flexible complexity with a minimum of user input and knowledge of details

A Tutorial on Learning Bayesian Networks

by David Heckerman - Communications of the ACM , 1995
"... We examine a graphical representation of uncertain knowledge called a Bayesian network. The representation is easy to construct and interpret, yet has formal probabilistic semantics making it suitable for statistical manipulation. We show how we can use the representation to learn new knowledge by c ..."
Abstract - Cited by 365 (12 self) - Add to MetaCart
We examine a graphical representation of uncertain knowledge called a Bayesian network. The representation is easy to construct and interpret, yet has formal probabilistic semantics making it suitable for statistical manipulation. We show how we can use the representation to learn new knowledge

Hierarchies and the Organization of Knowledge in Production

by Luis Garicano - JOURNAL OF POLITICAL ECONOMY , 2000
"... This paper studies how communication allows for the specialized acquisition of knowledge. It shows that a knowledge-based hierarchy is a natural way to organize the acquisition of knowledge when matching problems with those who know how to solve them is costly. In such an organization, production wo ..."
Abstract - Cited by 274 (46 self) - Add to MetaCart
This paper studies how communication allows for the specialized acquisition of knowledge. It shows that a knowledge-based hierarchy is a natural way to organize the acquisition of knowledge when matching problems with those who know how to solve them is costly. In such an organization, production
Results 1 - 10 of 8,425