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Interior-point Methods

by Florian A. Potra, Stephen J. Wright , 2000
"... The modern era of interior-point methods dates to 1984, when Karmarkar proposed his algorithm for linear programming. In the years since then, algorithms and software for linear programming have become quite sophisticated, while extensions to more general classes of problems, such as convex quadrati ..."
Abstract - Cited by 612 (15 self) - Add to MetaCart
The modern era of interior-point methods dates to 1984, when Karmarkar proposed his algorithm for linear programming. In the years since then, algorithms and software for linear programming have become quite sophisticated, while extensions to more general classes of problems, such as convex

Constrained model predictive control: Stability and optimality

by D. Q. Mayne, J. B. Rawlings, C. V. Rao, P. O. M. Scokaert - AUTOMATICA , 2000
"... Model predictive control is a form of control in which the current control action is obtained by solving, at each sampling instant, a finite horizon open-loop optimal control problem, using the current state of the plant as the initial state; the optimization yields an optimal control sequence and t ..."
Abstract - Cited by 738 (16 self) - Add to MetaCart
and/or time-varying systems. We concentrate our attention on research dealing with stability and optimality; in these areas the subject has developed, in our opinion, to a stage where it has achieved sufficient maturity to warrant the active interest of researchers in nonlinear control. We distill

Testing for Common Trends

by James H. Stock, Mark W. Watson - Journal of the American Statistical Association , 1988
"... Cointegrated multiple time series share at least one common trend. Two tests are developed for the number of common stochastic trends (i.e., for the order of cointegration) in a multiple time series with and without drift. Both tests involve the roots of the ordinary least squares coefficient matrix ..."
Abstract - Cited by 464 (7 self) - Add to MetaCart
has k unit roots and n- k distinct stationary linear combinations. Our proposed tests can be viewed alternatively as tests of the number of common trends, linearly independent cointegrating vectors, or autoregressive unit roots of the vector process. Both of the proposed tests are asymptotically

A mammalian microRNA expression atlas based on small RNA library sequencing.

by Pablo Landgraf , Mirabela Rusu , Robert Sheridan , Alain Sewer , Nicola Iovino , Alexei Aravin , Sé Bastien Pfeffer , Amanda Rice , Alice O Kamphorst , Markus Landthaler , Carolina Lin , Nicholas D Socci , Leandro Hermida , Valerio Fulci , Sabina Chiaretti , Robin Foà , Julia Schliwka , Uta Fuchs , Astrid Novosel , Roman-Ulrich Mü , Bernhard Schermer , Ute Bissels , Jason Inman , Quang Phan , David B Weir , Ruchi Choksi , Gabriella De Vita , Daniela Frezzetti , Hans-Ingo Trompeter , Veit Hornung , Grace Teng , Gunther Hartmann , Miklos Palkovits , Roberto Di Lauro , Peter Wernet , Giuseppe Macino , Charles E Rogler , James W Nagle , Jingyue Ju , F Nina Papavasiliou , Thomas Benzing , Peter Lichter , Wayne Tam , Michael J Brownstein , Andreas Bosio , James J Russo , Chris Sander , Mihaela Zavolan , Thomas Tuschl - Cell, , 2007
"... SUMMARY MicroRNAs (miRNAs) are small noncoding regulatory RNAs that reduce stability and/or translation of fully or partially sequencecomplementary target mRNAs. In order to identify miRNAs and to assess their expression patterns, we sequenced over 250 small RNA libraries from 26 different organ sy ..."
Abstract - Cited by 418 (4 self) - Add to MetaCart
of which are ubiquitously expressed, account for most of the differences in miRNA profiles between cell lineages and tissues. This broad survey also provides detailed and accurate information about mature sequences, precursors, genome locations, maturation processes, inferred transcriptional units

The Determinants of Credit Spread Changes.

by Pierre Collin-Dufresne , Robert S Goldstein , J Spencer Martin , Gurdip Bakshi , Greg Bauer , Dave Brown , Francesca Carrieri , Peter Christoffersen , Susan Christoffersen , Greg Duffee , Darrell Duffie , Vihang Errunza , Gifford Fong , Mike Gallmeyer , Laurent Gauthier , Rick Green , John Griffin , Jean Helwege , Kris Jacobs , Chris Jones , Andrew Karolyi , Dilip Madan , David Mauer , Erwan Morellec , Federico Nardari , N R Prabhala , Tony Sanders , Sergei Sarkissian , Bill Schwert , Ken Singleton , Chester Spatt , René Stulz - Journal of Finance , 2001
"... ABSTRACT Using dealer's quotes and transactions prices on straight industrial bonds, we investigate the determinants of credit spread changes. Variables that should in theory determine credit spread changes have rather limited explanatory power. Further, the residuals from this regression are ..."
Abstract - Cited by 422 (2 self) - Add to MetaCart
, and maturity groups. Note that this result by itself is not surprising, since theory predicts that all credit spreads should be affected by aggregate variables such as changes in the interest rate, changes in business climate, changes in market volatility, etc. The particularly surprising aspect of our results

A Gaussian prior for smoothing maximum entropy models

by Stanley F. Chen, Ronald Rosenfeld , 1999
"... In certain contexts, maximum entropy (ME) modeling can be viewed as maximum likelihood train-ing for exponential models, and like other maximum likelihood methods is prone to overfitting of training data. Several smoothing methods for maximum entropy models have been proposed to address this problem ..."
Abstract - Cited by 253 (2 self) - Add to MetaCart
In certain contexts, maximum entropy (ME) modeling can be viewed as maximum likelihood train-ing for exponential models, and like other maximum likelihood methods is prone to overfitting of training data. Several smoothing methods for maximum entropy models have been proposed to address

maturity

by Republic Of The Marshall Isl, Jessica Farley, Naomi Clear, Dale Kolody, Richard Hillary, Jock Young, Jessica Farley, Naomi Clear, Dale Kolody, Richard Hillary, Jock Young , 2014
"... At the 9th session of the Western and Central Pacific Fisheries Commission Scientific Committee, concern was expressed regarding biological aspects of the 2013 South Pacific Swordfish (SWO) stock assessment. The stock assessment had a high degree of uncertainty that was attributed to uncertainty in ..."
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in the accuracy of growth and maturity parameters. The SC recommended that additional work on age, growth and age validation be undertaken. In response to this, and a call for research by the Australian Fisheries Management Authority Research Committee (ARC), CSIRO submitted an ARC proposal to re‐examine SWO age

The Drosha-DGCR8 complex in primary microRNA processing

by Jinju Han, Yoontae Lee, Kyu-hyun Yeom, Young-kook Kim, Hua Jin, V. Narry Kim - Genes Dev , 2004
"... RNase III proteins play key roles in microRNA (miRNA) biogenesis. The nuclear RNase III Drosha cleaves primary miRNAs (pri-miRNAs) to release hairpin-shaped pre-miRNAs that are subsequently cut by the cytoplasmic RNase III Dicer to generate mature miRNAs. While Dicer (class III) and other simple RNa ..."
Abstract - Cited by 220 (4 self) - Add to MetaCart
RNase III proteins play key roles in microRNA (miRNA) biogenesis. The nuclear RNase III Drosha cleaves primary miRNAs (pri-miRNAs) to release hairpin-shaped pre-miRNAs that are subsequently cut by the cytoplasmic RNase III Dicer to generate mature miRNAs. While Dicer (class III) and other simple

Feature-based survey of model transformation approaches

by K. Czarnecki, S. Helsen , 2006
"... Model transformations are touted to play a key role in Model Driven Developmente. Although well-established standards for creating metamodels such as the Meta-Object Facility exist, there is currently no mature foundation for specifying transformations among models. We propose a framework for the cl ..."
Abstract - Cited by 196 (4 self) - Add to MetaCart
Model transformations are touted to play a key role in Model Driven Developmente. Although well-established standards for creating metamodels such as the Meta-Object Facility exist, there is currently no mature foundation for specifying transformations among models. We propose a framework

User Experience – a Research Agenda.

by Marc Hassenzahl , Noam Tractinsky - Behaviour and Information Technology, , 2006
"... Over the last decade, 'user experience' (UX) became a buzzword in the field of humancomputer interaction (HCI) and interaction design. As technology matured, interactive products became not only more useful and usable, but also fashionable, fascinating things to desire. Driven by the impr ..."
Abstract - Cited by 170 (5 self) - Add to MetaCart
Over the last decade, 'user experience' (UX) became a buzzword in the field of humancomputer interaction (HCI) and interaction design. As technology matured, interactive products became not only more useful and usable, but also fashionable, fascinating things to desire. Driven
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