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Statistics for Experimenters

by Gerald O. Hunter, Matthias Zeller, Brian D. Leskiw, Bruker Smart, Apex Ccd , 2005
"... R factor = 0.052; wR factor = 0.114; data-to-parameter ratio = 18.4. The title compound, [Zn(C8H10F3O2)2(CH4O)2], is a dimethanol coordinated zinc complex with the acetyl acetonate derivative 1,1,1-trifluoro-5,5-dimethylhexane-2,4dionate. The bis--diketonate complex, which is isostructural with its ..."
Abstract - Cited by 675 (1 self) - Add to MetaCart
hydrogen bonds between the methanol hydroxyl groups and neighboring diketonate O atoms create chains running along [100]. Related literature For information regarding the synthesis of various metal-diketonates refer to Watson & Lin (1966). For mass spectrometry related articles see Lerach & Leskiw

Propensity Score Matching Methods For Non-Experimental Causal Studies

by Rajeev H. Dehejia, Sadek Wahba , 2002
"... This paper considers causal inference and sample selection bias in non-experimental settings in which: (i) few units in the non-experimental comparison group are comparable to the treatment units; and (ii) selecting a subset of comparison units similar to the treatment units is difficult because uni ..."
Abstract - Cited by 714 (3 self) - Add to MetaCart
This paper considers causal inference and sample selection bias in non-experimental settings in which: (i) few units in the non-experimental comparison group are comparable to the treatment units; and (ii) selecting a subset of comparison units similar to the treatment units is difficult because

The Aurora Experimental Framework for the Performance Evaluation of Speech Recognition Systems under Noisy Conditions

by David Pearce, Hans-günter Hirsch, Ericsson Eurolab Deutschland Gmbh - in ISCA ITRW ASR2000 , 2000
"... This paper describes a database designed to evaluate the performance of speech recognition algorithms in noisy conditions. The database may either be used to measure frontend feature extraction algorithms, using a defined HMM recognition back-end, or complete recognition systems. The source speech f ..."
Abstract - Cited by 534 (6 self) - Add to MetaCart
was prepared as a contribution to the ETSI STQ-AURORA DSR Working Group[1]. Aurora is developing standards for Distributed Speech Recognition (DSR) where the speech analysis is done in the telecommunication terminal and the recognition at a central location in the telecom network. The framework is currently

Experimental Groups

by T. Morisaki, H. Tsuchiya, H. Zushi, T. Ryokai, R. Bhattacharyay, S. Masuzaki, H. Yamada, A. Komori, O. Motojima
"... 1 ..."
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Abstract not found

Centrality in social networks conceptual clarification

by Linton C. Freeman - Social Networks , 1978
"... The intuitive background for measures of structural centrality in social networks is reviewed aPzd existing measures are evaluated in terms of their consistency with intuitions and their interpretability. Three distinct intuitive conceptions of centrality are uncovered and existing measures are refi ..."
Abstract - Cited by 1083 (2 self) - Add to MetaCart
are refined to embody these conceptions. Three measures are developed for each concept, one absolute and one relative measure of the ~entra~~t~ ~ of ~os~tio~ls in a network, and one relenting the degree of centralization of the entire network. The implications of these measures for the experimental study

NiagaraCQ: A Scalable Continuous Query System for Internet Databases

by Jianjun Chen, David J. Dewitt, Feng Tian, Yuan Wang - In SIGMOD , 2000
"... Continuous queries are persistent queries that allow users to receive new results when they become available. While continuous query systems can transform a passive web into an active environment, they need to be able to support millions of queries due to the scale of the Internet. No existing syste ..."
Abstract - Cited by 584 (9 self) - Add to MetaCart
systems have achieved this level of scalability. NiagaraCQ addresses this problem by grouping continuous queries based on the observation that many web queries share similar structures. Grouped queries can share the common computation, tend to fit in memory and can reduce the I/O cost significantly

Automaticity of social behavior: Direct effects of trait construct and stereotype activation on action

by John A. Bargh, Mark Chen, Lara Burrows - Journal of Personality and Social Psychology , 1996
"... Previous research has shown that trait concepts and stereotypes become active automatically in the presence of relevant behavior or stereotyped-group features. Through the use of the same priming procedures as in previous impression formation research, Experiment l showed that participants whose con ..."
Abstract - Cited by 584 (18 self) - Add to MetaCart
Previous research has shown that trait concepts and stereotypes become active automatically in the presence of relevant behavior or stereotyped-group features. Through the use of the same priming procedures as in previous impression formation research, Experiment l showed that participants whose

CURE: An Efficient Clustering Algorithm for Large Data sets

by Sudipto Guha, Rajeev Rastogi, Kyuseok Shim - Published in the Proceedings of the ACM SIGMOD Conference , 1998
"... Clustering, in data mining, is useful for discovering groups and identifying interesting distributions in the underlying data. Traditional clustering algorithms either favor clusters with spherical shapes and similar sizes, or are very fragile in the presence of outliers. We propose a new clustering ..."
Abstract - Cited by 722 (5 self) - Add to MetaCart
Clustering, in data mining, is useful for discovering groups and identifying interesting distributions in the underlying data. Traditional clustering algorithms either favor clusters with spherical shapes and similar sizes, or are very fragile in the presence of outliers. We propose a new

Dynamic programming algorithm optimization for spoken word recognition

by Hiroaki Sakoe, Seibi Chiba - IEEE TRANSACTIONS ON ACOUSTICS, SPEECH, AND SIGNAL PROCESSING , 1978
"... This paper reports on an optimum dynamic programming (DP) based time-normalization algorithm for spoken word recognition. First, a general principle of time-normalization is given using timewarping function. Then, two time-normalized distance definitions, ded symmetric and asymmetric forms, are der ..."
Abstract - Cited by 788 (3 self) - Add to MetaCart
, are derived from the principle. These two forms are compared with each other through theoretical discussions and experimental studies. The symmetric form algorithm superiority is established. A new technique, called slope constraint, is successfully introduced, in which the warping function slope

Pastry: Scalable, decentralized object location and routing for large-scale peer-to-peer systems

by Antony Rowstron , Peter Druschel - IN PROC. OF THE 18TH IFIP/ACM INTERNATIONAL CONFERENCE ON DISTRIBUTED SYSTEMS PLATFORMS, , 2001
"... This paper presents the design and evaluation of Pastry, a scalable, distributed object location and routing substrate for wide-area peer-to-peer applications. Pastry performs application-level routing and object location in a potentially very large overlay network of nodes connected via the Intern ..."
Abstract - Cited by 1932 (1 self) - Add to MetaCart
the Internet. It can be used to support a variety of peer-to-peer applications, including global data storage, data sharing, group communication and naming. Each node in the Pastry network has a unique identifier (nodeId). When presented with a message and a key, a Pastry node efficiently routes the message
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