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1.
公开(公告)号:EP3396598A3
公开(公告)日:2018-12-12
申请号:EP18382345.9
申请日:2018-05-21
申请人: Erle Robotics, S.L.
发明人: MAYORAL VILCHES, Víctor , MUÑIZ ROSAS, Aday , BILBAO CALVO, Asier , MUGURUZA GOENAGA, Iñigo , ZAMALLOA UGARTE, Irati
CPC分类号: G06N3/008 , B25J9/1656 , G05B19/00 , G06F17/5009 , G06N99/005
摘要: A method for managing the power consumption of a modular robot is disclosed, being the overall power consumption of the robot the result of the individual power consumption of all its components following from certain power routines and inference techniques; a method that allows for an automatic inference and instant determination of the overall power consumption required by a modular robot is provided, such method also extended to the determination of the power consumption of a modular robot over a period of time; a method for training the behavior of a modular robot in a power-conscious manner according to a power inference source and a desired power consumption or a desired energy profile, using for that purpose Reinforcement and Imitation Learning techniques, is also disclosed; a method for monitoring and controlling the power consumption of the modular robot through a user interface conceived to that end is likewise disclosed; lastly, the robot apparatus therefor, a modular robot whose components own the electronics needed for the deployment of the disclosed method, is provided.
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公开(公告)号:EP3410348A1
公开(公告)日:2018-12-05
申请号:EP18173840.2
申请日:2018-05-23
申请人: HERE Global B.V.
发明人: Yunjie, Zhao , Giurgiu, Gavril , Cajias, Raul , Stenneth, Leon , Linder, Eric
IPC分类号: G06K9/00
CPC分类号: G06N99/005 , G06F17/30241 , G06F17/30598 , G06K9/00771 , G08G1/145
摘要: An approach is provided for generating parking occupancy data using a machine learning model. The approach involves determining one or more classification features of a road link. The approach also involves processing the one or more classification features using the machine learning model to match the road link to a link category. The approach further involves determining a parking occupancy pattern for the road link based on the link category. The approach further involves creating or updating a parking occupancy record of a geographic record corresponding to road link using the parking occupancy pattern.
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公开(公告)号:EP3408765A2
公开(公告)日:2018-12-05
申请号:EP17743849.6
申请日:2017-01-25
发明人: PROTTER, Matan
CPC分类号: G06F3/017 , G06F17/30946 , G06N99/005
摘要: Methods and systems for generating synthetic samples of postures and gestures are provided. In one embodiment, the system may include: a database configured to store at least one sample of a posture or a gesture; a sensing device; and a computer processor configured to: derive values of parameters relating to a specific user and/or environment and generate datasets of gesture and posture samples based on the derived values. In another embodiment, a computer memory may be configured to: obtain at least one gesture or posture of at least one body part; and obtain data sets affecting the appearance of said postures and gestures; and a computer processor configured to generate sets of synthetic samples of said postures and gestures, based on the obtained data sets, wherein the synthetic samples embody virtual variations caused by at least one of the obtained data sets.
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公开(公告)号:EP3406844A1
公开(公告)日:2018-11-28
申请号:EP18173598.6
申请日:2018-05-22
发明人: DUPONT, Emilien , VESSELINOV, Velizar , BURTON, Erik , CELAYA GALVAN, Jose Ramon , KONCHENKO, Andrey Sergeevich
CPC分类号: G01V1/50 , E21B41/0092 , E21B49/006 , E21B2041/0028 , G01V1/523 , G06F17/18 , G06N7/005 , G06N99/005 , G06Q10/04 , G06Q50/02
摘要: A method includes receiving data where the data include data for a plurality of factors associated with a plurality of wells; training a regression model based at least in part on the data and the plurality of factors; outputting a trained regression model; and predicting production of a well via the trained regression model.
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公开(公告)号:EP3405842A1
公开(公告)日:2018-11-28
申请号:EP17700677.2
申请日:2017-01-18
申请人: Robert Bosch GmbH
IPC分类号: G05B23/02
CPC分类号: G06N99/005 , G05B19/042 , G05B23/0275 , G05B2219/2629 , G06F17/30327 , G06F17/3053
摘要: Methods, systems, and apparatuses for performing target parameter analysis for an assembly line including a plurality of stations. One method includes receiving, with an electronic processor, training data associated with the assembly line. The training data including a plurality of attributes. The method also includes receiving, with the electronic processor, value addition data for each of the plurality of stations. The value addition data for each of the plurality of stations specifying a non-negative value added by each of the plurality of stations. The method also includes learning, with the electronic processor, a decision tree based on the training data and the value addition data. The method also includes performing the target parameter analysis based on the decision tree.
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公开(公告)号:EP3401803A1
公开(公告)日:2018-11-14
申请号:EP18165412.0
申请日:2018-04-03
申请人: FUJITSU LIMITED
发明人: Sawano, Yoshinobu , Soma, Sanae
CPC分类号: G06N5/045 , G06F3/04817 , G06F3/0482 , G06F17/30398 , G06N3/004 , G06N3/006 , G06N99/005 , G06Q40/00
摘要: An interaction scenario display control program that causes a computer to execute a process including: controlling, according (131) to an input, which branch is to be selected to display corresponding contents, of an interaction scenario having a plurality of branches that is stored in a storage unit (120); storing (133) information specifying a selected branch in the storage unit (120); and generating and displaying (132) a display screen on which information indicating which branch of the interaction scenario has been selected and how many times it has been selected is displayed by using letters or illustrations, at a time of generating letters or marks corresponding to each of the branches and displaying a flow of the interaction scenario, by referring to information stored in the storage unit (120).
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7.
公开(公告)号:EP3401802A1
公开(公告)日:2018-11-14
申请号:EP17735865.2
申请日:2017-01-06
发明人: WANG, Zhongcun
IPC分类号: G06F17/30
CPC分类号: G06N5/04 , G06F17/30522 , G06F17/30867 , G06N7/005 , G06N99/005
摘要: The present disclosure relates to a web page training method and device. The method includes: obtaining a training web page set of a manually annotated class, and generating a web page vector of a web page in the training web page set, specifically including: obtaining an effective history query character string of a first training web page in the training web page set, and performing word segmentation on the effective history query character string; obtaining an effective quantity of times of each segmented word, the effective quantity of times being a total quantity of times the segmented word occurs in the effective history query character string; calculating a segmented word weight of each segmented word according to the effective quantity of times of each segmented word; generating a web page vector of the first training web page according to each segmented word and the corresponding segmented word weight; and generating a web page classification model according to the manually annotated class of the web page in the training web page set and the corresponding web page vector. Training costs are low, efficiency is high, and class annotation may be automatically performed on a web page after the web page classification model is generated, so that an accuracy rate of an identified intention is higher. A search intention identification method and device are further put forward.
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公开(公告)号:EP3396530A3
公开(公告)日:2018-11-14
申请号:EP18161820.8
申请日:2018-03-14
申请人: Intel Corporation
发明人: OULD-AHMED-VALL, Elmoustapha , LAKSHMANAN, Barath , SHPEISMAN, Tatiana , RAY, Joydeep , TANG, Ping T. , STRICKLAND, Michael , CHEN, Xiaoming , YAO, Anbang , ASHBAUGH, Ben J. , HURD, Linda L. , MA, Liwei
CPC分类号: G06F9/3887 , G06F9/3001 , G06F9/30014 , G06F9/30036 , G06F9/30094 , G06F9/30109 , G06F9/30112 , G06F9/3016 , G06F9/3802 , G06F9/3836 , G06F9/3851 , G06F9/50 , G06F13/4068 , G06F13/4282 , G06F15/80 , G06F2213/0026 , G06N3/00 , G06N99/005 , G06T1/20
摘要: One embodiment provides for a compute apparatus to perform machine learning operations, the compute apparatus comprising instruction decode logic to decode a single instruction including multiple operands into a single decoded instruction, the multiple operands having differing precisions and a general-purpose graphics compute unit including a first logic unit and a second logic unit, the general-purpose graphics compute unit to execute the single decoded instruction, wherein to execute the single decoded instruction includes to perform a first instruction operation on a first set of operands of the multiple operands at a first precision and a simultaneously perform second instruction operation on a second set of operands of the multiple operands at a second precision.
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公开(公告)号:EP3396528A1
公开(公告)日:2018-10-31
申请号:EP18162625.0
申请日:2018-03-19
申请人: INTEL Corporation
发明人: KOKER, Altug , APPU, Abhishek R. , SINHA, Kamal , RAY, Joydeep , VEMBU, Balaji , OULD-AHMED-VALL, Elmoustapha , BAGHSORKHI, Sara S. , YAO, Anbang , NEALIS, Kevin , CHEN, Xiaoming , WEAST, John C. , GOTTSCHLICH, Justin E. , SURTI, Prasoonkumar , SAKTHIVEL, Chandrasekaran , AKHBARI, Farshad , SATISH, Nadathur Rajagopalan , MA, Liwei , BOTTLESON, Jeremy , NURVITADHI, Eriko , SCHLUESSLER, Travis T. , SHAH, Ankur N. , KENNEDY, Jonathan , RANGANATHAN, Vasanth , JAHAGIRDAR, Sanjeev
CPC分类号: G06N3/08 , G06F9/505 , G06N3/0445 , G06N3/0454 , G06N3/0481 , G06N3/063 , G06N99/005
摘要: In an example, an apparatus comprises a plurality of execution units comprising at least a first type of execution unit and a second type of execution unit and logic, at least partially including hardware logic, to analyze a workload and assign the workload to one of the first type of execution unit or the second type of execution unit. Other embodiments are also disclosed and claimed.
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10.
公开(公告)号:EP3396051A1
公开(公告)日:2018-10-31
申请号:EP18168949.8
申请日:2018-04-24
申请人: LG Electronics Inc.
发明人: KWON, Baekeun , KIM, Hyejeong , MIN, Byeongho , BAE, Yonggyung
CPC分类号: D06F33/02 , D06F39/005 , D06F39/08 , G06N99/005
摘要: A laundry treating apparatus (20) is disclosed in which a recommendation formula is previously stored to compute and determine a course and option to be recommended.
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