1![Series UT Electronic Indicating Controls Series UT Yokogawa electronic controls are available in 1/4 and 1/8 DIN sizes. Red LED displays show both process and set point. The UT can accept inputs from all thermocouples, R Series UT Electronic Indicating Controls Series UT Yokogawa electronic controls are available in 1/4 and 1/8 DIN sizes. Red LED displays show both process and set point. The UT can accept inputs from all thermocouples, R](https://www.pdfsearch.io/img/cd14e83ac15a9308912256017c945e7e.jpg) | Add to Reading ListSource URL: www.caloritech.comLanguage: English - Date: 2012-10-23 23:00:00
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2![PROTEINS: Structure, Function, and Bioinformatics 64:198 –Diffusion-Collision of Foldons Elucidates the Kinetic Effects of Point Mutations and Suggests Control Strategies of the Folding Process of Helical P PROTEINS: Structure, Function, and Bioinformatics 64:198 –Diffusion-Collision of Foldons Elucidates the Kinetic Effects of Point Mutations and Suggests Control Strategies of the Folding Process of Helical P](https://www.pdfsearch.io/img/25b3da6141231b66a9742773ef3a90be.jpg) | Add to Reading ListSource URL: snps.biofold.orgLanguage: English - Date: 2013-03-06 14:22:52
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3![Iti Fabussa Figure 3: Heat-treating process as described in text, moving from left to right and top to bottom. Making a Choctaw stone arrow point Imagine yourself Iti Fabussa Figure 3: Heat-treating process as described in text, moving from left to right and top to bottom. Making a Choctaw stone arrow point Imagine yourself](https://www.pdfsearch.io/img/c84dfbfebe895ee920a10f66c557b858.jpg) | Add to Reading ListSource URL: www.choctawnationculture.comLanguage: English - Date: 2013-05-10 13:59:11
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4![also from mobile and distributed devices, as well as electronic documents—and put them through a single process. So, what comes out is a perfected data stream regardless of the initial starting point. We want to purify also from mobile and distributed devices, as well as electronic documents—and put them through a single process. So, what comes out is a perfected data stream regardless of the initial starting point. We want to purify](https://www.pdfsearch.io/img/b20b738b45155c9ac17566715dbd594f.jpg) | Add to Reading ListSource URL: www.twain.orgLanguage: English - Date: 2017-03-11 22:50:34
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5![2016 IEEE INTERNATIONAL WORKSHOP ON MACHINE LEARNING FOR SIGNAL PROCESSING, SEPT. 13–16, 2016, SALERNO, ITALY SCORE-MATCHING ESTIMATORS FOR CONTINUOUS-TIME POINT-PROCESS REGRESSION MODELS Maneesh Sahani, Gerg˝o Bohne 2016 IEEE INTERNATIONAL WORKSHOP ON MACHINE LEARNING FOR SIGNAL PROCESSING, SEPT. 13–16, 2016, SALERNO, ITALY SCORE-MATCHING ESTIMATORS FOR CONTINUOUS-TIME POINT-PROCESS REGRESSION MODELS Maneesh Sahani, Gerg˝o Bohne](https://www.pdfsearch.io/img/d61bc4cfe632906bba3bed36ef80a62e.jpg) | Add to Reading ListSource URL: www.gatsby.ucl.ac.uk- Date: 2016-08-10 04:42:04
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6![(c) Springer, 2015 http://link.springer.com/chapter3_5#page-1 A Method for Analyzing Time Series Data in Process Mining: Application and Extension of Decision Point Analysis? (c) Springer, 2015 http://link.springer.com/chapter3_5#page-1 A Method for Analyzing Time Series Data in Process Mining: Application and Extension of Decision Point Analysis?](https://www.pdfsearch.io/img/d63e163a6bbd051a3638e462bfa3e4a6.jpg) | Add to Reading ListSource URL: eprints.cs.univie.ac.at- Date: 2015-09-16 09:47:55
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7![The Change Point Kernel Andrew Gordon Wilson November 12, 2013 Saatchi et aland Osborne (2010), for instance, have introduced Gaussian process models for change points. In this note, we discuss how the Gaussian The Change Point Kernel Andrew Gordon Wilson November 12, 2013 Saatchi et aland Osborne (2010), for instance, have introduced Gaussian process models for change points. In this note, we discuss how the Gaussian](https://www.pdfsearch.io/img/a97264e7a6c06b04bb40ccce816e1630.jpg) | Add to Reading ListSource URL: www.cs.cmu.edu- Date: 2014-09-11 09:47:06
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8![Spatial Gaussian Process (GP) models for Massive Geostatistical Datasets Spatial Gaussian Process (GP) models—subsume kriging—for point-referenced geospatial datasets provide a statistically valid framework for predi Spatial Gaussian Process (GP) models for Massive Geostatistical Datasets Spatial Gaussian Process (GP) models—subsume kriging—for point-referenced geospatial datasets provide a statistically valid framework for predi](https://www.pdfsearch.io/img/05b18182f8e2abae2b13e6916f787f2e.jpg) | Add to Reading ListSource URL: carbon.nasa.gov- Date: 2016-05-31 21:49:40
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9![List Acquisition Do Ask for permission before adding subscribers to your list. Do Build your own lists and collect data at every customer touch-point, both online and offline. Do Keep the opt-in process quick and simple List Acquisition Do Ask for permission before adding subscribers to your list. Do Build your own lists and collect data at every customer touch-point, both online and offline. Do Keep the opt-in process quick and simple](https://www.pdfsearch.io/img/51b47a94584934270ed3aa1ca05cc93e.jpg) | Add to Reading ListSource URL: www.emailvidya.com- Date: 2014-05-19 00:56:59
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10![List Acquisition Do Ask for permission before adding subscribers to your list. Do Build your own lists and collect data at every customer touch-point, both online and offline. Do Keep the opt-in process quick and simple List Acquisition Do Ask for permission before adding subscribers to your list. Do Build your own lists and collect data at every customer touch-point, both online and offline. Do Keep the opt-in process quick and simple](https://www.pdfsearch.io/img/84e6467bacfbbf0185e1a6c5b9816e13.jpg) | Add to Reading ListSource URL: emailvidya.com- Date: 2014-05-19 00:56:59
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