minimization full text biodata mining

  • Characterizing the effects of missing data and evaluating ...

     · The Toxicological Priority Index (ToxPi) is a method for prioritization and profiling of chemicals that integrates data from diverse sources. However, individual data sources (“assays”), such as in vitro bioassays or in vivo study endpoints, often feature sections of missing data, wherein subsets of chemicals have not been tested in all assays.

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  • Characterization of polymeric phenolic acids and ...

    Ultrahigh‐performance liquid chromatography coupled to quadrupole time‐of‐flight tandem mass spectrometry (UHPLC/QTOF‐MS/MS) analysis with target and nontarget data mining strategy was proposed to rapidly profile the polymeric phenolic acids and flavonoids in CSH.

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  • Title: PMLB: A Large Benchmark Suite for Machine Learning ...

     · Abstract: The selection, development, or comparison of machine learning methods in data mining can be a difficult task based on the target problem and goals of a particular study. Numerous publicly available real-world and simulated benchmark datasets have emerged from different sources, but their organization and adoption as standards have been inconsistent.

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  • Limitations of matrix completion via trace norm minimization

    In this paper, we analyze the issues related to trace norm minimization and find an unexpected result that trace norm minimization often does not work as well as expected. ... OCR errors may be found in this Reference List extracted from the full text article. ... Tools such as social networks analysis and text mining have contributed to their ...

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  • Legislative prediction with dual uncertainty minimization ...

    The full text of this article hosted at iucr.org is unavailable due to technical difficulties. Original Article. Legislative prediction with dual uncertainty minimization from heterogeneous information. Yu Cheng. Corresponding Author. E-mail address: ... bill text and lawmakers' profile data, to carry out effective legislative prediction. ...

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  • Environmental impact of the coal industry - Wikipedia

    The environmental impact of the coal industry includes issues such as land use, waste management, water and air pollution, caused by the coal mining, processing and the use of its products.In addition to atmospheric pollution, coal burning produces hundreds of millions of tons of solid waste products annually, including fly ash, bottom ash, and flue-gas desulfurization sludge, that contain ...

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  • K-core Minimization - ACM Digital Library

    Full text: PDF Efficient implementations of range and nearest neighbor queries are critical in many large multimedia applications. Locality Sensitive Hashing (LSH) is a popular technique for performing approximate searches in high-dimensional multimedia, such as image ...

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  • Alternating Minimization Algorithms for Hybrid Precoding ...

    However, the optimal design of such hybrid precoders has not been fully understood. In this paper, treating the hybrid precoder design as a matrix factorization problem, effective alternating minimization (AltMin) algorithms will be proposed for two different hybrid precoding structures, i.e., the fully-connected and partially-connected structures.

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  • Minimization Full Text Biodata Mining

    Optimal exact least squares rank minimization doi.acm. Full text: PDF In history, the Moore's law effect has been used to describe phenomena of exponential improvement in technology when it has a virtuous cycle that makes technology improvement proportional to technology itself. ... BioData Mining springer. BioData Mining is an open access ...

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  • Want to analyze millions of scientific papers all at once ...

     · Want to analyze millions of scientific papers all at once? Here’s the best way to do it. By Lindsay McKenzie Jul. 21, 2017 , 2:45 PM. With more than a million scientific papers produced each ...

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  • Yunhai Xiao | PhD - ResearchGate

    This problem as a special cases includes the $\ell_1$-regularized convex minimization problem in signal processing, compressive sensing, machine learning, data mining, etc. ... Full-text …

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  • Accurate prediction of major histocompatibility complex ...

    Accurate prediction of major histocompatibility complex class II epitopes by sparse representation via l minimization Article (PDF Available) in BioData Mining 7(23) · …

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  • Best Data Mining Software 2019 - SourceForge

    Easy.Data.Mining is a software organization that offers a piece of software called Data.Mining.Fox. Data.Mining.Fox is data mining software, and includes features such as data extraction, data visualization, linked data management, and semantic search. Some competitor software products to Data.Mining.Fox include NaturalText, PoolParty, and Diffbot.

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  • GEOPHYSICS: Vol 84, No 5

    Amplitude-based misfit functions in viscoelastic full-waveform inversion applied to walk-away vertical seismic profile data. ... Three-dimensional inversion of semiairborne data from the flight experiment over an ancient mining area near Schleiz, Germany. ... Full text; PDF (1206 KB) PDF w/Links (254 KB) Permissions; Previous.

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  • (PDF) Logic minimization and rule extraction for ...

    Logic minimization and rule extraction for identification of functional sites in molecular sequences Article (PDF Available) in BioData Mining 5(1):10 · August 2012 with 33 Reads

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  • Topic-aware Social Influence Minimization

    Full Text: PDF Get this Article: Authors: ... work we present a semantic recommender system able to suggest doctors and hospitals that best fit a specific patient profile. The recommender system is the core component of the social network named HealthNet (HN). ... Recent research has shown that mining and modelling search tasks helps improve ...

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  • Proceedings of the 18th ACM SIGKDD international ...

    The breadth of topics covered in this year's research program is truly comprehensive, including social networks, privacy, text mining, predictive modeling, time-series forecasting, spatial data analysis, geometry, and more.

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  • Fast approximate energy minimization via graph cuts - IEEE ...

    Fast approximate energy minimization via graph cuts Abstract: Many tasks in computer vision involve assigning a label (such as disparity) to every pixel. A common constraint is that the labels should vary smoothly almost everywhere while preserving sharp discontinuities that may exist, e.g., at …

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  • Fast Solution of--Norm Minimization Problems When the ...

    However, general-purpose optimizers are much too slow for lscr 1 minimization in many large-scale applications.In this paper, the Homotopy method, originally proposed by Osborne et al. and Efron et al., is applied to the underdetermined lscr minimization problem min par x par 1 subject to y = Ax. Homotopy is shown to run much more rapidly ...

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  • (PDF) Dynamic Scheduling for Energy Minimization in Delay ...

    Dynamic Scheduling for Energy Minimization in Delay-Sensitive Stream Mining ... or views or downloads the full-text. Learn more ... novel framework for dynamic scheduling for energy minimization ...

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  • Greedy Minimization of Weakly Supermodular Set Functions

    Abstract: This paper defines weak-$\alpha$-supermodularity for set functions. Many optimization objectives in machine learning and data mining seek to minimize such functions under cardinality constrains. We prove that such problems benefit from a greedy extension phase.

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  • [1207.4538] Nonmonotone Barzilai-Borwein Gradient ...

    Abstract: This paper is devoted to minimizing the sum of a smooth function and a nonsmooth $\ell_1$-regularized term. This problem as a special cases includes the $\ell_1$-regularized convex minimization problem in signal processing, compressive sensing, machine learning, data mining, etc.

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  • Minimization Full Text Biodata Mining

    Minimization Full Text Biodata Mining. In addition, our investigations into alternative rule extraction methods have also demonstrated that the logic minimization method is able to produce accurate rules even from datasets with large number of variables and limited numbers of positive examples, which is a situation often encountered in biological data mining.

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  • A novel biclustering algorithm of binary ... - BioData Mining

     · The biclustering of microarray data has been the subject of a large research. No one of the existing biclustering algorithms is perfect. The construction of biologically significant groups of biclusters for large microarray data is still a problem that requires a continuous work. Biological validation of biclusters of microarray data is one of the most important open issues.

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  • Frontiers | Deep-Sea Mining With No Net Loss of ...

    Deep-sea mining is likely to result in biodiversity loss, and the significance of this to ecosystem function is not known. “Out of kind” biodiversity offsets substituting one ecosystem type (e.g., coral reefs) for another (e.g., abyssal nodule fields) have been proposed to compensate for such loss. Here we consider a goal of no net loss (NNL) of biodiversity and explore the challenges of ...

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  • Waste minimisation - Wikipedia

    Waste minimisation is a set of processes and practices intended to reduce the amount of waste produced. By reducing or eliminating the generation of harmful and persistent wastes, waste minimisation supports efforts to promote a more sustainable society. Waste minimisation involves redesigning products and processes and/or changing societal patterns of consumption and production.

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  • Accurate prediction of major histocompatibility complex ...

     · The major histocompatibility complex (MHC) is responsible for presenting antigens (epitopes) on the surface of antigen-presenting cells (APCs). When pathogen-derived epitopes are presented by MHC class II on an surface, T cells may be able to trigger an specific immune response. Prediction of MHC-II epitopes is particularly challenging because the open …

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  • Dynamic Scheduling for Energy Minimization in Delay ...

    In this paper, we propose a novel framework for dynamic scheduling for energy minimization (DSE) that leverages this emerging hardware heterogeneity. By optimally determining the processing speeds for hardware executing classifiers, DSE minimizes the average energy consumption while satisfying an average delay constraint.

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  • Rank aggregation via nuclear norm minimization

    Abstract Much of the world's electronic text is annotated with human-interpretable labels, such as tags on web pages and subject codes on academic publications. Effective text mining in this setting requires models that can flexibly account for the textual ...

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  • Feiping Nie | PhD | University of Texas at Arlington, TX ...

    University of Texas at Arlington ... and list of authors), clicks on a figure, or views or downloads the full-text. Learn more. 10,563. ... Feature selection plays a critical role in data mining ...

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  • Logic minimization and rule extraction ... - BioData Mining

     · Logic minimization is the application of algebraic axioms to a binary dataset with the purpose of reducing the number of digital variables and/or rules needed to express it. Although logic minimization techniques have been applied to bioinformatics datasets before, they have not been used in classification and rule discovery problems. In this paper, we propose a …

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  • Want to analyze millions of scientific papers all at once ...

     · Want to analyze millions of scientific papers all at once? Here’s the best way to do it. By Lindsay McKenzie Jul. 21, 2017 , 2:45 PM. With more than a million scientific papers produced each ...

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