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MEGA5: Molecular evolutionary genetics analysis using maximum . . .

by Koichiro Tamura, Daniel Peterson, Nicholas Peterson, Glen Stecher, Masatoshi Nei, Sudhir Kumar , 2011
"... Comparative analysis of molecular sequence data is essential for reconstructing the evolutionary histories of species and inferring the nature and extent of selective forces shaping the evolution of genes and species. Here, we announce the release of Molecular Evolutionary Genetics Analysis version ..."
Abstract - Cited by 7284 (25 self) - Add to MetaCart
5 (MEGA5), which is a user-friendly software for mining online databases, building sequence alignments and phylogenetic trees, and using methods of evolutionary bioinformatics in basic biology, biomedicine, and evolution. The newest addition in MEGA5 is a collection of maximum likelihood (ML

Learning in graphical models

by Michael I. Jordan - STATISTICAL SCIENCE , 2004
"... Statistical applications in fields such as bioinformatics, information retrieval, speech processing, image processing and communications often involve large-scale models in which thousands or millions of random variables are linked in complex ways. Graphical models provide a general methodology for ..."
Abstract - Cited by 806 (10 self) - Add to MetaCart
-scale data analysis problems. We also present examples of graphical models in bioinformatics, error-control coding and language processing.

ANALYSIS OF WIRELESS SENSOR NETWORKS FOR HABITAT MONITORING

by Joseph Polastre, Robert Szewczyk, Alan Mainwaring, David Culler, John Anderson , 2004
"... We provide an in-depth study of applying wireless sensor networks (WSNs) to real-world habitat monitoring. A set of system design requirements were developed that cover the hardware design of the nodes, the sensor network software, protective enclosures, and system architecture to meet the require ..."
Abstract - Cited by 1490 (19 self) - Add to MetaCart
We provide an in-depth study of applying wireless sensor networks (WSNs) to real-world habitat monitoring. A set of system design requirements were developed that cover the hardware design of the nodes, the sensor network software, protective enclosures, and system architecture to meet

The SLAM project: debugging system software via static analysis

by Thomas Ball, Sriram K. Rajamani - SIGPLAN Not
"... Abstract. The goal of the SLAM project is to check whether or not a program obeys "API usage rules " that specif[y what it means to be a good client of an API. The SLAM toolkit statically analyzes a C program to determine whether or not it violates given usage rules. The toolkit has two un ..."
Abstract - Cited by 472 (17 self) - Add to MetaCart
unique aspects: it does not require the programmer to annotate the source program (invariants are inferred); it minimizes noise (false error messages) through a process known as "counterexample-driven refinement". SLAM exploits and extends results fi'om program analysis, model checking

Tensor Decompositions and Applications

by Tamara G. Kolda, Brett W. Bader - SIAM REVIEW , 2009
"... This survey provides an overview of higher-order tensor decompositions, their applications, and available software. A tensor is a multidimensional or N -way array. Decompositions of higher-order tensors (i.e., N -way arrays with N ≥ 3) have applications in psychometrics, chemometrics, signal proce ..."
Abstract - Cited by 723 (18 self) - Add to MetaCart
of rank-one tensors, and the Tucker decomposition is a higher-order form of principal components analysis. There are many other tensor decompositions, including INDSCAL, PARAFAC2, CANDELINC, DEDICOM, and PARATUCK2 as well as nonnegative variants of all of the above. The N-way Toolbox and Tensor Toolbox

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 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

A Probabilistic Analysis of the Rocchio Algorithm with TFIDF for Text Categorization

by Thorsten Joachims , 1997
"... The Rocchio relevance feedback algorithm is one of the most popular and widely applied learning methods from information retrieval. Here, a probabilistic analysis of this algorithm is presented in a text categorization framework. The analysis gives theoretical insight into the heuristics used in the ..."
Abstract - Cited by 456 (1 self) - Add to MetaCart
The Rocchio relevance feedback algorithm is one of the most popular and widely applied learning methods from information retrieval. Here, a probabilistic analysis of this algorithm is presented in a text categorization framework. The analysis gives theoretical insight into the heuristics used

Why Johnny can’t encrypt: A usability evaluation of PGP 5.0

by Alma Whitten, J. D. Tygar , 1999
"... User errors cause or contribute to most computer security failures, yet user interfaces for security still tend to be clumsy, confusing, or near-nonexistent. Is this simply due to a failure to apply standard user interface design techniques to security? We argue that, on the contrary, effective secu ..."
Abstract - Cited by 479 (4 self) - Add to MetaCart
User errors cause or contribute to most computer security failures, yet user interfaces for security still tend to be clumsy, confusing, or near-nonexistent. Is this simply due to a failure to apply standard user interface design techniques to security? We argue that, on the contrary, effective

Mining version histories to guide software changes

by Thomas Zimmermann, Peter Weißgerber - In 26th International Conference on Software Engineering (ICSE 2004 , 2004
"... We apply data mining to version histories in order to guide programmers along related changes: “Programmers who changed these functions also changed... ”. Given a set of existing changes, such rules (a) suggest and predict likely further changes, (b) show up item coupling that is indetectable by pro ..."
Abstract - Cited by 422 (25 self) - Add to MetaCart
We apply data mining to version histories in order to guide programmers along related changes: “Programmers who changed these functions also changed... ”. Given a set of existing changes, such rules (a) suggest and predict likely further changes, (b) show up item coupling that is indetectable

Power Analysis of Embedded Software: A First Step towards Software Power Minimization

by Vivek Tiwari, Sharad Malik, Andrew Wolfe , 1994
"... Embedded computer systems are characterized by the presence ofadedicated processor and the software that runs on it. Power constraints are increasingly becoming the critical component of the design speci cation of these systems. At present, however, power analysis tools can only be applied at the lo ..."
Abstract - Cited by 405 (9 self) - Add to MetaCart
Embedded computer systems are characterized by the presence ofadedicated processor and the software that runs on it. Power constraints are increasingly becoming the critical component of the design speci cation of these systems. At present, however, power analysis tools can only be applied
Results 1 - 10 of 10,054