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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
learned from relational databases by iteratively optimizing a pseudo-likelihood measure. Optionally, additional clauses are learned using inductive logic programming techniques. Experiments with a real-world database and knowledge base in a university domain illustrate the promise of this approach.

Base-calling of automated sequencer traces using phred. I. Accuracy Assessment

by Brent Ewing, Ladeana Hillier, Michael C. Wendl, Phil Green - GENOME RES , 1998
"... The availability of massive amounts of DNA sequence information has begun to revolutionize the practice of biology. As a result, current large-scale sequencing output, while impressive, is not adequate to keep pace with growing demand and, in particular, is far short of what will be required to obta ..."
Abstract - Cited by 1653 (4 self) - Add to MetaCart
improved accuracy of the data processing software and reliable accuracy measures to reduce the need for human involvement in error correction and make human review more efficient. Here, we describe one step toward that goal: a base-calling program for automated sequencer traces, phred, with improved

The ensemble Kalman Filter: Theoretical formulation and practical implementation.

by Geir Evensen - Ocean Dynamics, , 2003
"... Abstract The purpose of this paper is to provide a comprehensive presentation and interpretation of the Ensemble Kalman Filter (EnKF) and its numerical implementation. The EnKF has a large user group and numerous publications have discussed applications and theoretical aspects of it. This paper rev ..."
Abstract - Cited by 496 (5 self) - Add to MetaCart
numerical implementation. A program listing is given for some of the key subroutines. The paper also touches upon specific issues such as the use of nonlinear measurements, in situ profiles of temperature and salinity, and data which are available with high frequency in time. An ensemble based optimal

Efficient estimation of word representations in vector space

by Tomas Mikolov, Kai Chen, Greg Corrado, Jeffrey Dean , 2013
"... We propose two novel model architectures for computing continuous vector representations of words from very large data sets. The quality of these representations is measured in a word similarity task, and the results are compared to the previ-ously best performing techniques based on different types ..."
Abstract - Cited by 371 (6 self) - Add to MetaCart
We propose two novel model architectures for computing continuous vector representations of words from very large data sets. The quality of these representations is measured in a word similarity task, and the results are compared to the previ-ously best performing techniques based on different

Conditional value-at-risk for general loss distributions

by R. Tyrrell Rockafellar, Stanislav Uryasev - Journal of Banking and Finance , 2002
"... Abstract. Fundamental properties of conditional value-at-risk, as a measure of risk with significant advantages over value-at-risk, are derived for loss distributions in finance that can involve discreetness. Such distributions are of particular importance in applications because of the prevalence o ..."
Abstract - Cited by 386 (28 self) - Add to MetaCart
of reach. The numerical efficiency and stability of such calculations, shown in several case studies, are illustrated further with an example of index tracking. Key Words: Value-at-risk, conditional value-at-risk, mean shortfall, coherent risk measures, risk sampling, scenarios, hedging, index tracking

When Networks Disagree: Ensemble Methods for Hybrid Neural Networks

by Michael P. Perrone, Leaon N. Cooper , 1993
"... This paper presents a general theoretical framework for ensemble methods of constructing significantly improved regression estimates. Given a population of regression estimators, we construct a hybrid estimator which is as good or better in the MSE sense than any estimator in the population. We argu ..."
Abstract - Cited by 349 (3 self) - Add to MetaCart
in functional space which helps to avoid over-fitting. 4) It utilizes local minima to construct improved estimates whereas other neural network algorithms are hindered by local minima. 5) It is ideally suited for parallel computation. 6) It leads to a very useful and natural measure of the number of distinct

External Memory Algorithms and Data Structures

by Jeffrey Scott Vitter , 1998
"... Data sets in large applications are often too massive to fit completely inside the computer's internal memory. The resulting input/output communication (or I/O) between fast internal memory and slower external memory (such as disks) can be a major performance bottleneck. In this paper, we surve ..."
Abstract - Cited by 349 (23 self) - Add to MetaCart
and hierarchical memory. We discuss several important paradigms for how to solve batched and online problems efficiently in external memory. Programming tools and environments are available for simplifying the programming task. The TPIE system (Transparent Parallel I/O programming Environment) is both easy to use

Fast and reliable prediction of noncoding RNAs

by Stefan Washietl, Ivo L. Hofacker, Peter F. Stadler - Proc Natl Acad Sci USA
"... We report an efficient method to detect functional RNAs. The approach, which combines comparative sequence analysis and structure prediction, yields excellent results already for a small number of aligned sequences and is suitable for large scale-genomic screens. It consists of two basic components: ..."
Abstract - Cited by 335 (45 self) - Add to MetaCart
We report an efficient method to detect functional RNAs. The approach, which combines comparative sequence analysis and structure prediction, yields excellent results already for a small number of aligned sequences and is suitable for large scale-genomic screens. It consists of two basic components

The Design and Performance of a Real-time CORBA Event Service

by Timothy Harrison, David L. Levine, Douglas C. Schmidt - in Proceedings of OOPSLA '97, (Atlanta, GA), ACM , 1997
"... The CORBA Event Service provides a flexible model for asynchronous communication among objects. However, the standard CORBA Event Service specification lacks important features required by real-time applications. For instance, operational flight programs for fighter aircraft have complex realtime pr ..."
Abstract - Cited by 274 (91 self) - Add to MetaCart
The CORBA Event Service provides a flexible model for asynchronous communication among objects. However, the standard CORBA Event Service specification lacks important features required by real-time applications. For instance, operational flight programs for fighter aircraft have complex realtime

Avrora: Scalable Sensor Network Simulation With Precise Timing

by Ben L. Titzer, et al. - IN PROC. OF THE 4TH INTL. CONF. ON INFORMATION PROCESSING IN SENSOR NETWORKS (IPSN , 2005
"... Simulation can be an important step in the development of software for wireless sensor networks and has been the subject of intense research in the past decade. While most previous efforts in simulating wireless sensor networks have focused on protocol-level issues utilizing models of the software i ..."
Abstract - Cited by 270 (5 self) - Add to MetaCart
-time. We show how an event queue can enable efficient instruction-level simulation of microcontroller programs and allow the hidden parallelism in finegrained sensor network simulations to be extracted, once two core synchronization problems are identified and solved. Avrora's ability to measure
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