Patents by Inventor Klaus Thielen
Klaus Thielen has filed for patents to protect the following inventions. This listing includes patent applications that are pending as well as patents that have already been granted by the United States Patent and Trademark Office (USPTO).
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Patent number: 11455284Abstract: Described is an approach that provides an adaptive solution to missing data for machine learning systems. A gradient solution is provided that is attentive to imputation needs at each of several missingness levels. This multilevel approach treats data missingness at any of multiple severity levels while utilizing, as much as possible, the actual observed data.Type: GrantFiled: September 9, 2019Date of Patent: September 27, 2022Inventors: Michael Zoll, Yaser I. Suleiman, Subhransu Basu, Angelo Pruscino, Wolfgang Lohwasser, Wataru Miyoshi, Thomas Breidt, Thomas Herter, Klaus Thielen, Sahil Kumar
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Patent number: 11308049Abstract: Described is an improved approach to remove data outliers by filtering out data correlated to detrimental events within a system. One or more detrimental even conditions are defined to identify and handle abnormal transient states from collected data for a monitored system.Type: GrantFiled: September 18, 2017Date of Patent: April 19, 2022Assignee: Oracle International CorporationInventors: Yaser I. Suleiman, Michael Zoll, Subhransu Basu, Angelo Pruscino, Wolfgang Lohwasser, Wataru Miyoshi, Thomas Breidt, Thomas Herter, Klaus Thielen, Sahil Kumar
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Patent number: 10997135Abstract: Described is an approach for performing context-aware prognoses in machine learning systems. The approach harnesses streams of detailed data collected from a monitored target to create a context, in parallel to ongoing model operations, for the model outcomes. The context is then probed to identify the particular elements associated with the model findings.Type: GrantFiled: September 18, 2017Date of Patent: May 4, 2021Assignee: Oracle International CorporationInventors: Michael Zoll, Yaser I. Suleiman, Subhransu Basu, Angelo Pruscino, Wolfgang Lohwasser, Wataru Miyoshi, Thomas Breidt, Thomas Herter, Klaus Thielen, Sahil Kumar
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Patent number: 10909095Abstract: Described is an improved approach to implement selection of training data for machine learning, by presenting a designated set of specific data indicators where these data indicators correspond to metrics that end users are familiar with and are easily understood by ordinary users and DBAs within their knowledge domain. Selection of these indicators would correlate automatically to selection of a corresponding set of other metrics/signals that are less understandable to an ordinary user. Additional analysis of the selected data can then be performed to identify and correct any statistical problems with the selected training data.Type: GrantFiled: September 18, 2017Date of Patent: February 2, 2021Assignee: Oracle International CorporationInventors: Yaser I. Suleiman, Michael Zoll, Subhransu Basu, Angelo Pruscino, Wolfgang Lohwasser, Wataru Miyoshi, Thomas Breidt, Thomas Herter, Klaus Thielen, Sahil Kumar
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Publication number: 20190391968Abstract: Described is an approach that provides an adaptive solution to missing data for machine learning systems. A gradient solution is provided that is attentive to imputation needs at each of several missingness levels. This multilevel approach treats data missingness at any of multiple severity levels while utilizing, as much as possible, the actual observed data.Type: ApplicationFiled: September 9, 2019Publication date: December 26, 2019Applicant: ORACLE INTERNATIONAL CORPORATIONInventors: Michael ZOLL, Yaser I. SULEIMAN, Subhransu BASU, Angelo PRUSCINO, Wolfgang LOHWASSER, Wataru MIYOSHI, Thomas BREIDT, Thomas HERTER, Klaus THIELEN, Sahil KUMAR
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Patent number: 10409789Abstract: Described is an approach that provides an adaptive solution to missing data for machine learning systems. A gradient solution is provided that is attentive to imputation needs at each of several missingness levels. This multilevel approach treats data missingness at any of multiple severity levels while utilizing, as much as possible, the actual observed data.Type: GrantFiled: September 18, 2017Date of Patent: September 10, 2019Assignee: ORACLE INTERNATIONAL CORPORATIONInventors: Michael Zoll, Yaser I. Suleiman, Subhransu Basu, Angelo Pruscino, Wolfgang Lohwasser, Wataru Miyoshi, Thomas Breidt, Thomas Herter, Klaus Thielen, Sahil Kumar
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Publication number: 20180081912Abstract: Described is an improved approach to implement selection of training data for machine learning, by presenting a designated set of specific data indicators where these data indicators correspond to metrics that end users are familiar with and are easily understood by ordinary users and DBAs within their knowledge domain. Selection of these indicators would correlate automatically to selection of a corresponding set of other metrics/signals that are less understandable to an ordinary user. Additional analysis of the selected data can then be performed to identify and correct any statistical problems with the selected training data.Type: ApplicationFiled: September 18, 2017Publication date: March 22, 2018Applicant: Oracle International CorporationInventors: Yaser I. SULEIMAN, Michael ZOLL, Subhransu BASU, Angelo PRUSCINO, Wolfgang LOHWASSER, Wataru MIYOSHI, Thomas BREIDT, Thomas HERTER, Klaus THIELEN, Sahil KUMAR
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Publication number: 20180083833Abstract: Described is an approach for performing context-aware prognoses in machine learning systems. The approach harnesses streams of detailed data collected from a monitored target to create a context, in parallel to ongoing model operations, for the model outcomes. The context is then probed to identify the particular elements associated with the model findings.Type: ApplicationFiled: September 18, 2017Publication date: March 22, 2018Applicant: Oracle International CorporationInventors: Michael ZOLL, Yaser I. SULEIMAN, Subhransu BASU, Angelo PRUSCINO, Wolfgang LOHWASSER, Wataru MIYOSHI, Thomas BREIDT, Thomas HERTER, Klaus THIELEN, Sahil KUMAR
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Publication number: 20180081914Abstract: Described is an approach that provides an adaptive solution to missing data for machine learning systems. A gradient solution is provided that is attentive to imputation needs at each of several missingness levels. This multilevel approach treats data missingness at any of multiple severity levels while utilizing, as much as possible, the actual observed data.Type: ApplicationFiled: September 18, 2017Publication date: March 22, 2018Applicant: Oracle International CorporationInventors: Michael ZOLL, Yaser I. SULEIMAN, Subhransu BASU, Angelo PRUSCINO, Wolfgang LOHWASSER, Wataru MIYOSHI, Thomas BREIDT, Thomas HERTER, Klaus THIELEN, Sahil KUMAR
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Publication number: 20180081913Abstract: Described is an improved approach to remove data outliers by filtering out data correlated to detrimental events within a system. One or more detrimental even conditions are defined to identify and handle abnormal transient states from collected data for a monitored system.Type: ApplicationFiled: September 18, 2017Publication date: March 22, 2018Applicant: Oracle International CoprorationInventors: Yaser I. SULEIMAN, Michael ZOLL, Subhransu BASU, Angelo PRUSCINO, Wolfgang LOHWASSER, Wataru MIYOSHI, Thomas BREIDT, Thomas HERTER, Klaus THIELEN, Sahil KUMAR
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Patent number: 8695832Abstract: A can lid (1) with a re-closable opening (11) includes an opening region or a closure cover (11), bounded by a peripheral tear-open notch (4), and a lever member intended for breaking through the tear-open notch. Adjacent to the tear-open notch (4), the outer rim of the closure cover (11) is non-positively connected to a collar part (5) of a first plastics material. The collar part is assigned a cover receiving part (10), of a second plastics material, which is outside the opening region and adjacent to the tear-open notch and is non-positively connected to the cover area, wherein the collar part engages over the cover receiving part. Formed between the collar part (5) and the cover receiving part (10) is a sealing snap-in locking connection with a peripheral domed rib and a complementarily formed recess.Type: GrantFiled: February 1, 2011Date of Patent: April 15, 2014Inventors: Klaus Thielen, Eva-Maria Thielen, Wolfgang Thielen
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Publication number: 20130020326Abstract: A can lid (1) with a re-closable opening (11), in particular for drinks cans, is described. It has an opening region or a closure cover (11), bounded by a peripheral tear-open notch (4), and a lever member intended for breaking through the tear-open notch. Adjacent to the tear-open notch (4), the outer rim of the closure cover (11) is non-positively connected to a collar part (5) of a first plastics material. The collar part is assigned a cover receiving part (10), of a second plastics material, which is outside the opening region and adjacent to the tear-open notch and is non-positively connected to the cover area, wherein the collar part engages over the cover receiving part. Formed between the collar part (5) and the cover receiving part (10) is a sealing snap-in locking connection with a peripheral domed rib and a complementarily formed recess. A pull tab (15) is fastened to the fixing region of the collar part radially outside the cover receiving part.Type: ApplicationFiled: February 1, 2011Publication date: January 24, 2013Inventors: Klaus Thielen, Eva-Maria Thielen, Wolfgang Thielen
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Patent number: 8347527Abstract: A shoe sole and a shoe comprising such a shoe sole are described, with the shoe sole being equipped with integrated anti-slipping elements which are adjustable between an inactive position and an active position by means of a central actuation unit. This arrangement is characterized in that the anti-slipping elements, which in particular have the form of spikes, are respectively supported in individual functional units and are axially adjustable between their active and inactive positions through rotation by the central actuation unit via at least one flexible drive element.Type: GrantFiled: June 20, 2007Date of Patent: January 8, 2013Assignee: Tecvision AGInventor: Klaus Thielen
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Publication number: 20100199525Abstract: A shoe sole and a shoe comprising such a shoe sole are described, with the shoe sole being equipped with integrated anti-slipping elements which are adjustable between an inactive position and an active position by means of a central actuation unit. This arrangement is characterized in that the anti-slipping elements, which in particular have the form of spikes, are respectively supported in individual functional units and are axially adjustable between their active and inactive positions through rotation by the central actuation unit via at least one flexible drive element.Type: ApplicationFiled: June 20, 2007Publication date: August 12, 2010Inventor: Klaus Thielen
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Patent number: 7632193Abstract: A golf club is described having a club head which is fastened to a club shaft end and whose striking plate is connected at an edge side to a main body, with the main body made as a hollow body having a receiver and fixing for a central weight disposed opposite and centered with respect to the striking plate.Type: GrantFiled: August 9, 2006Date of Patent: December 15, 2009Assignee: Thielen Feinmechanik GmbH & Co. Fertigungs KGInventor: Klaus Thielen
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Publication number: 20070037633Abstract: A golf club is described having a club head which is fastened to a club shaft end and whose striking plate is connected at an edge side to a main body, with the main body made as a hollow body having a receiver and fixing for a central weight disposed opposite and centered with respect to the striking plate.Type: ApplicationFiled: August 9, 2006Publication date: February 15, 2007Applicant: THIELEN FEINMECHANIK GMBH & CO. FERTIGUNGS KGInventor: Klaus Thielen