이 특허를 인용한 특허 (117)

1. Werbos Paul J., 3-brain architecture for an intelligent decision and control system.

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2. Werbos, Paul J., 3-brain architecture for an intelligent decision and control system.

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3. Chang, Shu Ping; Li, Fei; Lipscomb, James Sargent, Adaptive QoS system and method.

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4. Hoffberg, Steven M.; Hoffberg-Borghesani, Linda I., Adaptive pattern recognition based controller apparatus and method and human-interface therefore.

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5. Hoffberg, Steven M.; Hoffberg-Borghesani, Linda I., Alarm system controller and a method for controlling an alarm system.

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6. Lowry, Thomas Britton; Akarapu, Om Purushotham; Gatpa, Srihari Rao, Analyzing data quality.

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7. Lowrance, John D.; Harrison, Ian W.; Rodriguez, Andres C., Apparatus and methods for generating and accessing arguments.

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8. Ayala,Melvin; Adjoundi,Malek, Artificial neural network design and evaluation tool.

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9. Jannarone,Robert; Homoki,David; Rasmussen,Amanda, Automated analyzers for estimation systems.

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10. Keeler James D. ; Hartman Eric J. ; Godbole Devendra B. ; Piche Steve ; Arbila Laura ; Ellinger Joshua ; Ferguson ; II R. Bruce ; Krauskop John ; Kempf Jill L. ; O'Hara Steven A. ; Strauss Audrey ; T, Automated method for building a model.

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11. Keeler, James D.; Hartman, Eric J.; Godbole, Devendra B.; Piche, Steve; Arbila, Laura; Ellinger, Joshua; Ferguson, II, R. Bruce; Krauskop, John; Kempf, Jill L.; O'Hara, Steven A.; Strauss, Audrey; Te, Automated method for building a model.

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12. Their,Adam; Sandles,Jon; Pearson,Duncan, Budget planning.

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13. Roelle, William; Arcuri, Thomas; Zachacz, Karen; Coury, Jacqueline L.; Spaulding, Carol; Bonk, Becky; Bolejack, Chris; Muckle, Robert; Limric, David; LeSage, Suzy, Call center monitoring system.

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14. Thier,Adam, Cascaded planning of an enterprise planning model.

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15. Loukos, Harilaos, Climatic forecast system.

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16. Mardirossian Aris, Communication system and method including brain wave analysis and/or use of brain activity.

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17. Huard,Jean Fran챌ois, Computer performance estimation system configured to take expected events into consideration.

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18. Leonard, Michael James; Crowe, Keith Eugene; Christian, Stacey M.; Beeman, Jennifer Leigh Sloan; Elsheimer, David Bruce; Blair, Edward Tilden, Computer-implemented systems and methods for efficient structuring of time series data.

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19. Jackson, Wilma Stainback; Leonard, Michael J.; Crowe, Keith Eugene, Computer-implemented systems and methods for flexible definition of time intervals.

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20. Brzezicki, Jerzy Michal; Apte, Dinesh P.; Leonard, Michael J.; Chipley, Michael Ryan; Mainkar, Sagar Arun; Blair, Edward Tilden, Computer-implemented systems and methods for testing large scale automatic forecast combinations.

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21. Leonard, Michael James; Blair, Edward Tilden; Brzezicki, Jerzy Michal; Sglavo, Udo V.; Pothireddy, Sujatha, Computer-implemented systems and methods for time series exploration.

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22. Leonard, Michael James; Blair, Edward Tilden; Brzezicki, Jerzy Michal; Sglavo, Udo V.; Pothireddy, Sujatha, Computer-implemented systems and methods for time series exploration.

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23. Leonard, Michael James; Blair, Edward Tilden; Brzezicki, Jerzy Michal; Sglavo, Udo V.; Tomar, Ranbir Singh; Kurien, Kannukuzhiyil Kurien; Pothireddy, Sujatha; Nath, Rajib; Muley, Vilochan Suresh, Computer-implemented systems and methods for time series exploration.

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24. Leonard, Michael James; Blair, Edward Tilden; Brzezicki, Jerzy Michal; Sglavo, Udo V.; Tomar, Ranbir Singh; Kurien, Kannukuzhiyil Kurien; Pothireddy, Sujatha; Nath, Rajib; Muley, Vilochan Suresh, Computer-implemented systems and methods for time series exploration.

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25. Leonard, Michael James; Chipley, Michael Ryan; Ambulgekar, Kshitija; Mainkar, Sagar Arun; Dixit, Ashwini Bhalchandra; Shrotriya, Sarika; Sglavo, Udo V.; Apte, Dinesh P., Computer-implemented systems and methods for time series exploration using structured judgment.

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26. Trevor A. Brown ; John M. Troha ; David M. Wolenberg ; Paul L. Berrigan, Jr., Dealer inventory management system.

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27. Humenansky,Brian S; Bowen,David S; Pearson,George Duncan; Sandles,Jon M; Aschenbrener,Clarence A; Antrobus,Mark, Deploying multiple enterprise planning models across clusters of application servers.

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28. Tzvieli Dvora (Marlboro NJ), Detection of deviations in monitored patterns.

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29. Scarborough, David J.; Chambless, Bjorn; Becker, Richard W.; Check, Thomas F.; Clainos, Deme M.; Eng, Maxwell W.; Levy, Joel R.; Mertz, Adam N.; Paajanen, George E.; Smith, David R.; Smith, John R., Development of electronic employee selection systems and methods.

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30. Scarborough, David J.; Chambless, Bjorn; Becker, Richard W.; Check, Thomas F.; Clainos, Deme M.; Eng, Maxwell W.; Levy, Joel R.; Mertz, Adam N.; Paajanen, George E.; Smith, David R.; Smith, John R., Development of electronic employee selection systems and methods.

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31. Leonard, Michael James; Trovero, Michele Angelo; Elsheimer, David Bruce; Dillman, Peter, Devices for forecasting ratios in hierarchies.

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32. Milana, Joseph Philip, Distributed scoring of data transactions.

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33. Scarborough, David J.; Chambless, Bjorn; Becker, Richard W.; Check, Thomas F.; Clainos, Deme M.; Eng, Maxwell W.; Levy, Joel R.; Mertz, Adam N.; Paajanen, George E.; Smith, David R.; Smith, John R., Electronic employee selection systems and methods.

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34. Scarborough, David J.; Chambless, Bjorn; Becker, Richard W.; Check, Thomas F.; Clainos, Deme M.; Eng, Maxwell W.; Levy, Joel R.; Mertz, Adam N.; Paajanen, George E.; Smith, David R.; Smith, John R., Electronic employee selection systems and methods.

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35. Scarborough,David J.; Chambless,Bjorn; Becker,Richard W.; Check,Thomas F.; Clainos,Deme M.; Eng,Maxwell W.; Levy,Joel R.; Mertz,Adam N.; Paajanen,George E.; Smith,David R.; Smith,John R., Electronic employee selection systems and methods.

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36. Scarborough,David J.; Chambless,Bjorn; Becker,Richard W.; Check,Thomas F.; Clainos,Deme M.; Eng,Maxwell W.; Levy,Joel R.; Mertz,Adam N.; Paajanen,George E.; Smith,David R.; Smith,John R., Electronic employee selection systems and methods.

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37. Dewar, Katrina L, Electronic predication system for assessing a suitability of job applicants for an employer.

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38. Dietrich,Paul F.; Menon,Sunil K.; Mylaraswamy,Dinkar; Olson,Lewis P., Empirical design of experiments using neural network models.

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39. Their, Adam; Sandles, Jon M.; Pearson, Duncan, Enterprise planning.

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40. Connors, Daniel Patrick; Gresh, Donna Leigh; Naveh, Yehuda; Richter, Yossi, Extending constraint satisfaction problem solving.

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41. Solomon,Baruch; Ronen,Ronny, Filtering basic instruction segments in a processor front-end for power conservation.

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42. Smyth, Mark N.; Haider, Ejaz; Safarian, Siamak; Islam, Shireengul, Forecasting with parallel processing.

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43. Xiao, Lin; Liu, Jie; Nath, Suman Kumar; Rigas, Leonidas; Zhao, Feng; Chen, Gong; He, Wenbo, Framework for joint analysis and design of server provisioning and load dispatching for connection-intensive server.

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44. Skeirik Richard D., Historical database training method for neural networks.

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45. Thier, Adam, Horizontal enterprise planning in accordance with an enterprise planning model.

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46. Leonard, Michael J.; Blair, Ed, In-memory time series database and processing in a distributed environment.

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47. Humenansky,Brian S; Pearson,George Duncan; Mills,Michael C, Inline compression of a network communication within an enterprise planning environment.

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48. Jourdan, Stephan J.; Ronen, Ronny; Rappoport, Lihu, Instruction segment recording scheme.

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49. Cotton, Peter, Intelligent simulation analysis method and system.

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50. Valsaraj, Varunraj; Aral, Bahadir; Yi, Jinxin; Baldridge, Jr., Roger Lee; Gallagher, Rebecca, Interactive graphical user interface with override guidance.

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51. Shyr, Jing-Yun; Spisic, Damir; Wright, Raymond; Xu, Jing; Zhang, Xueying, Interestingness of data.

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52. Shyr, Jing-Yun; Spisic, Damir; Wright, Raymond; Xu, Jing; Zhang, Xueying, Interestingness of data.

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53. Hoffberg, Steven M.; Hoffberg-Borghesani, Linda I., Internet appliance system and method.

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54. Hoffberg, Steven M.; Hoffberg-Borghesani, Linda I., Internet appliance system and method.

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55. Maren,Alianna J.; Campbell,Stanley V., Knowledge discovery method with utility functions and feedback loops.

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56. Lawrence Stephen Robert,AUX ; Giles C. Lee, Method and apparatus for foreign exchange rate time series prediction and classification.

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57. Lindquist, Erik Anson; Lloyd, Stratton Carpenter; Summers, Jeffrey McCormick, Method and apparatus for improved forecasting using multiple sources.

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58. Lowrance, John D.; Boyce, Thomas A., Method and apparatus for iterative computer-mediated collaborative synthesis and analysis.

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59. Pathria, Anu K.; Gopinathan, Krishna M.; Crooks, Theodore J.; Chow, Edmond D.; Laffoon, Mark A.; Freitag, Dayne B., Method and apparatus for making predictions about entities represented in documents.

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60. Keeler, James David; Hartman, Eric Jon; Ferguson, Ralph Bruce, Method and apparatus for operating a neural network with missing and/or incomplete data.

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61. Keeler, James David; Hartman, Eric Jon; Ferguson, Ralph Bruce, Method and apparatus for operating a neural network with missing and/or incomplete data.

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62. Hansen Peter D. (Wellesley Hills MA) Badavas Paul C. (Southboro MA), Method and apparatus for providing multivariable nonlinear control.

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63. Helsper,David; Huard,Jean Francois; Homoki,David; Rasmussen,Amanda; Jannarone,Robert, Method and system for analyzing and predicting the performance of computer network using time series measurements.

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64. Benzschawel, Terry L.; Dzeng, Chi; Berman, Gregory A., Method and system for artificial neural networks to predict price movements in the financial markets.

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65. Graf Lars Oliver, Method and system for managing a group of computers.

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66. Barney, Jonathan A., Method and system for probabilistically quantifying and visualizing relevance between two or more citationally or contextually related data objects.

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67. Barney, Jonathan A., Method and system for rating patents and other intangible assets.

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68. Busche,Frederick D., Method and system for sample data selection to test and train predictive algorithms of customer behavior.

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69. Erwin Austin,GBX ; Fotheringham Stuart,GBX ; McGuinness Christian,GBX, Method and system of financial spreading and forecasting.

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70. Piccioli,Sergio, Method for predictive determination of financial investment performance.

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71. Gemello, Roberto; Albesano, Dario, Method of optimising the execution of a neural network in a speech recognition system through conditionally skipping a variable number of frames.

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72. Tresp Volker,DEX ; Neuneier Ralph,DEX, Method of training a neural network.

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73. Grothmann,Ralph; Tietz,Christoph; Zimmermann,Hans Georg, Method, computer program with program code means, and computer program product for determining a future behavior of a dynamic system.

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74. Grose, David L.; Sherer, Thomas E., Methods and systems for constructing a scalable hierarchical feed-forward model for fabricating a product.

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75. Grose, David Lee; Sherer, Thomas E.; Button, Scott D., Methods and systems for correspondence pattern automation of scalable feed forward processes.

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76. Jones Annie M. W., Minimum income probability distribution predictor for health care facilities.

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77. Sundararajan, Ramaswamy; Lindquist, Erik Anson; Catahan, Jr., Nardo B.; Garg, Shailendra; Leon, Maria Theresa Barnes, Modeling of forecasting and production planning data.

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78. David Lee Nyland, Neural net prediction of seismic streamer shape.

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79. Nyland, David Lee, Neural net prediction of seismic streamer shape.

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80. Dezonno,Anthony J., Neural network for controlling calls in a telephone switch.

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81. Intriligator,Devrie S.; Intriligator,James M., Non-space weather prediction and notification system and method.

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82. Bush Ronald Roscoe, Optimum cessation of training in neural networks.

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83. Cox Ingemar J. ; Yianilos Peter N., Pattern recognition by unsupervised metric learning.

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84. Solomon, Baruch; Ronen, Ronny; Orenstien, Doron, Power reduction for processor front-end by caching decoded instructions.

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85. Solomon, Baruch; Ronen, Ronny; Orenstien, Doron, Power reduction for processor front-end by caching decoded instructions.

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86. Solomon,Baruch; Ronen,Ronny; Orenstien,Doron, Power reduction for processor front-end by caching decoded instructions.

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87. Yadav, Reena Dayal; Roy, Atanu Kumar; Singh, Udayan; Chisti, Safia; Kumar, Sanjeev; Srivastava, Ankur; Dey, Parthasarathy, Predictive analytics for information technology systems.

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88. Thier,Adam; Sandles,Jon M; Pearson,George Duncan; Gould,Michael, Real-time aggregation of data within a transactional data area of an enterprise planning environment.

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89. Daijavad, Shahrokh; Davari, Bijan; Naughton, Brian P.; Verma, Dinesh C., Reconfiguring a mobile network based on cellular network state information.

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90. Nusbaum, Michael Jay, Self-contained automatic fire extinguisher.

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91. Devrie S Intriligator ; James M Intriligator, Space weather prediction system and method.

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92. Intriligator, Devrie S; Intriligator, James M, Space weather prediction system and method.

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93. Intriligator, Devrie S; Intriligator, James M, Space weather prediction system and method.

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94. Intriligator,Devrie S; Intriligator,James M, Space weather prediction system and method.

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95. Humenansky,Brian Scott; Giles,Michael Lyle; Oppenheimer,Leonard Roy; Aschenbrener,Clarence Anthony; Broshar,Steven Richard, Spreadsheet user-interface for an enterprise planning system having multi-dimensional data store.

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96. Maren,Alianna J., System and method for evidence accumulation and hypothesis generation.

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97. Kant Elaine ; Randall Curt, System and method for financial instrument modeling and valuation.

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98. Bigus, Joseph Phillip; Hellerstein, Joseph L.; Squillante, Mark S.; Thathachar, Jayram S., System and method for generic automated tuning for performance management.

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99. Maren,Alianna J., System and method for predictive analysis and predictive analysis markup language.

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100. Gonten, Michael Von, System and method for projecting market penetration.

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101. Graf, Lars Oliver, System for assigning new alerts in response to a plurality of escaltion schemes or assigning an ignore scheme to the new alert.

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102. Lars Oliver Graf, System for managing a group of computers by performing automatic actions based on the identified computer conditions.

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103. Sullivan, Benjamin; Zmina, Steve; Donsky, Eric; Miu, Sasha; Bullock, Graeme John; Donath, Adam Ernest; Davis, Fred Harry; Knaack, Andreas; Solomon, Matthew Daniel; Harvey, Erol Craig; Chen, Carl Gang, Systems and methods for a sample fluid collection device.

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104. Donsky, Eric; Sullivan, Benjamin, Systems and methods for collecting tear film and measuring tear film osmolarity.

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105. Donsky, Eric; Sullivan, Benjamin, Systems and methods for collecting tear film and measuring tear film osmolarity.

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106. Donsky, Eric; Sullivan, Benjamin, Systems and methods for collecting tear film and measuring tear film osmolarity.

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107. Donsky, Eric; Sullivan, Benjamin, Systems and methods for collecting tear film and measuring tear film osmolarity.

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108. Chien, Yung-Hsin; Wang, Pu; Li, Yue, Systems and methods for machine learning using classifying, clustering, and grouping time series data.

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109. von Gonten,Michael F.; Muller,Paul F., Systems and methods for modeling product penetration and repeat.

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110. Sullivan,Benjamin; Donsky,Eric, Systems and methods for reducing the effect of corruptive signals during nanoliter osmometry.

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111. Richard, Victor H; Haxholdt, Christian; Good, Glenn, Systems and methods for resolving over multiple hierarchies.

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112. Leonard, Michael James; Elsheimer, David Bruce, Systems and methods for time series analysis techniques utilizing count data sets.

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113. Katz, Joseph H., Techniques for monitoring transformation techniques using control charts.

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114. Senturk, Deniz; LaComb, Christina A.; Hoerl, Roger W.; Gambhir, Snehil; Kalish, Peter A., Techniques for performing business analysis based on incomplete and/or stage-based data.

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115. Grose, David Lee; Sherer, Thomas E.; Button, Scott D., Three-dimensional display of specifications in a scalable feed forward network.

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116. Grose, David Lee; Sherer, Thomas E.; Button, Scott D., Three-dimensional display of specifications in a scalable feed forward network.

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117. Jourdan, Stephen J.; Rappoport, Lihu; Ronen, Ronny; Yoaz, Adi, Trace indexing via trace end addresses.

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