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Grounding in communication
 In
, 1991
"... We give a general analysis of a class of pairs of positive selfadjoint operators A and B for which A + XB has a limit (in strong resolvent sense) as h10 which is an operator A, # A! Recently, Klauder [4] has discussed the following example: Let A be the operator(d2/A2) + x2 on L2(R, dx) and let ..."
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Cited by 1093 (19 self)
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B = 1 x 1s. The eigenvectors and eigenvalues of A are, of course, well known to be the Hermite functions, H,(x), n = 0, l,... and E, = 2n + 1. Klauder then considers the eigenvectors of A + XB (A> 0) by manipulations with the ordinary differential equation (we consider the domain questions
Supplementing the WellKnown Factory Pattern
, 2002
"... In distributed objectoriented systems where resource users and resource providers/managers live on different nodes in the network it is common design practice to implement the wellknown Factory Pattern for enabling the client part of an application to create new instances of classes or components ..."
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In distributed objectoriented systems where resource users and resource providers/managers live on different nodes in the network it is common design practice to implement the wellknown Factory Pattern for enabling the client part of an application to create new instances of classes or components
MicroRNA genes are transcribed by RNA polymerase II
 EMBO J
, 2004
"... MicroRNAs (miRNAs) constitute a large family of noncoding RNAs that function as guide molecules in diverse gene silencing pathways. Current efforts are focused on the regulatory function of miRNAs, while little is known about how these unusual genes themselves are regulated. Here we present the fir ..."
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Cited by 475 (8 self)
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the first direct evidence that miRNA genes are transcribed by RNA polymerase II (pol II). The primary miRNA transcripts (primiRNAs) contain cap structures as well as poly(A) tails, which are the unique properties of class II gene transcripts. The treatment of human cells with aamanitin decreased the level
BEAMS WITH WELLKNOWN MATERIAL PROPERTIES
, 2013
"... wellknown local material properties, optical camera device Dieses Werk ist urheberrechtlich geschützt. Die dadurch begründeten Rechte, insbesondere die der Übersetzung, des Nachdrucks, des Vortrags, der Entnahme von Abbildungen und Tabellen, der Funksendung, der Mikroverfilmung oder der Vervielfält ..."
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wellknown local material properties, optical camera device Dieses Werk ist urheberrechtlich geschützt. Die dadurch begründeten Rechte, insbesondere die der Übersetzung, des Nachdrucks, des Vortrags, der Entnahme von Abbildungen und Tabellen, der Funksendung, der Mikroverfilmung oder der
CATH  a hierarchic classification of protein domain structures
 STRUCTURE
, 1997
"... Background: Protein evolution gives rise to families of structurally related proteins, within which sequence identities can be extremely low. As a result, structurebased classifications can be effective at identifying unanticipated relationships in known structures and in optimal cases function can ..."
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Cited by 466 (33 self)
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Background: Protein evolution gives rise to families of structurally related proteins, within which sequence identities can be extremely low. As a result, structurebased classifications can be effective at identifying unanticipated relationships in known structures and in optimal cases function
Estimating Attributes: Analysis and Extensions of RELIEF
, 1994
"... . In the context of machine learning from examples this paper deals with the problem of estimating the quality of attributes with and without dependencies among them. Kira and Rendell (1992a,b) developed an algorithm called RELIEF, which was shown to be very efficient in estimating attributes. Origi ..."
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Cited by 458 (24 self)
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. Original RELIEF can deal with discrete and continuous attributes and is limited to only twoclass problems. In this paper RELIEF is analysed and extended to deal with noisy, incomplete, and multiclass data sets. The extensions are verified on various artificial and one well known realworld problem. 1
A Validation Of ObjectOriented Design Metrics As Quality Indicators
 IEEE Transactions on Software Engineering
, 1995
"... This paper presents the results of a study conducted at the University of Maryland in which we experimentally investigated the suite of ObjectOriented (OO) design metrics introduced by [Chidamber&Kemerer, 1994]. In order to do this, we assessed these metrics as predictors of faultprone clas ..."
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Cited by 434 (19 self)
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on identical requirements. All eight projects were developed using a sequential life cycle model, a wellknown OO analysis/design method and the C++ programming language. Based on experimental results, the advantages and drawbacks of these OO metrics are discussed. Several of Chidamber&Kemerer's OO
Simple statistical gradientfollowing algorithms for connectionist reinforcement learning
 Machine Learning
, 1992
"... Abstract. This article presents a general class of associative reinforcement learning algorithms for connectionist networks containing stochastic units. These algorithms, called REINFORCE algorithms, are shown to make weight adjustments in a direction that lies along the gradient of expected reinfor ..."
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Cited by 443 (0 self)
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surrounding the use of such algorithms, including what is known about their limiting behaviors as well as further considerations that might be used to help develop similar but potentially more powerful reinforcement learning algorithms.
A scaled conjugate gradient algorithm for fast supervised learning
 NEURAL NETWORKS
, 1993
"... A supervised learning algorithm (Scaled Conjugate Gradient, SCG) with superlinear convergence rate is introduced. The algorithm is based upon a class of optimization techniques well known in numerical analysis as the Conjugate Gradient Methods. SCG uses second order information from the neural netwo ..."
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Cited by 441 (0 self)
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A supervised learning algorithm (Scaled Conjugate Gradient, SCG) with superlinear convergence rate is introduced. The algorithm is based upon a class of optimization techniques well known in numerical analysis as the Conjugate Gradient Methods. SCG uses second order information from the neural
Separable subgroups of mapping class groups
, 2008
"... We investigate the separability of several well known classes of subgroups of the mapping class group of a surface. 1 Introduction and main results 1.1 ..."
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We investigate the separability of several well known classes of subgroups of the mapping class group of a surface. 1 Introduction and main results 1.1
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