— 1 Introduction The family of techniques collected under the name of deep learning is responsible for the current AI Renaissance the fast resurgence of artificial intelligence after several decades of slow and unsatisfactory 2012 the group at the University of Toronto lead by Geoffrey Hinton the inventor of deep learning won
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In Proceedings of the 39th International Conference on Machine Learning Proceedings of Machine Learning Research Vol 162 Kamalika Chaudhuri Stefanie Jegelka Le Song Csaba Szepesvari Gang Niu and Sivan Sabato Eds
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— Update I ve rewritten this blog post elsewhere so you may want to read that version instead I think it s much better than this one In this post we ll talk about the method for explaining the predictions of any classifier described in this paper and implemented in this open source package Motivation why do we want to understand predictions
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— We present in this paper a novel approach VAE LIME for local interpretability of data driven models forecasting the temperature of the hot metal produced by a blast furnace Such ironmaking process data is
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— by LIME when it comes to machine learning algorithms that work with data as opposed to images Summarizing our contributions we i demonstrate how LIME can be used to supplement conventional performance assessment methods; ii evaluate the understandability of the output produced by LIME via a usability study; and iii pro
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— Machine learning or deep learning applied to generate black box data driven models are lacking of transparency leading the process engineer to lose confidence in relying on the model predictions to optimize his industrial process Bringing processes in the industry to a certain level of autonomy using data driven models is
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— Before you send inquiry Please provide us with project information as much as possible For a complete project the material availability the required output capacity the process technology your budgetary and financing status the estimated starting time For singular machinery the model the capacity your budgetary information
— It is a manufacturer of non woven deep processing equipment We have independently developed and produced three kinds of professional machinery and equipment medical labor protection mask machine series non woven fabric beauty life product manufacturing machine series non woven fabric hotel aviation product series
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— grate Because of the amount of lime carryover into the exhaust gases dust collection equipment must be installed on fluidized bed kilns for process economy Another alternative process that is beginning to emerge in the United States is the parallel flow regenerative PR lime kiln This process combines 2 advantages
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— Lime provides human readable explanations and is a quick way to analyze the contribution of each feature and hence helps to gain a better insight into a Machine Learning model behavior Once we understand why the model predicted in a certain way we can build trust with the model which is critical for interaction with machine learning
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— When one captures images in low light conditions the images often suffer from low visibility This poor quality may significantly degrade the performance of many computer vision and multimedia algorithms that are primarily designed for high quality inputs In this paper we propose a very simple and effective method named as LIME to
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— 2 LIMESTONE QUARRYING AND PROCESSING OPERATIONS 1 1 2 3 LIMESTONE LIMESTONE QUARRYING OPERATIONS LIMESTONE PROCESSING OPERATIONS 3 LCI METHODOLOGY 4 4 stone using heavy machinery secure the stone on a vehicle for transport and move the material to storage
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— Factories often operate a lime kiln on site to provide the active lime and carbon dioxide needed for the carbonation process Residual soluble calcium can be removed by ion exchange Depending on the equipment and capacity the diffusion process takes around 40 min after which the beet and juice are separated via screens
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