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Computer implemented machine learning method and system 원문보기

IPC분류정보
국가/구분 United States(US) Patent 등록
국제특허분류(IPC7판)
  • G06F-015/18
출원번호 US-0682859 (1996-07-12)
발명자 / 주소
  • Nordin Peter,SEX
  • Banzhaf Wolfgang,DEX
대리인 / 주소
    Alexander
인용정보 피인용 횟수 : 24  인용 특허 : 28

초록

One or more machine code entities such as functions are created which represent solutions to a problem and are directly executable by a computer. The programs are created and altered by a program in a higher level language such as "C" which is not directly executable, but requires translation into e

대표청구항

[ We claim:] [1.] A computer implemented learning method comprising the steps of:(a) providing a computer with an indirectly executable program including:a first instruction that points to and designates machine code stored in a memory as data;a second instruction that points to and designates machi

이 특허에 인용된 특허 (28)

  1. Davis Lawrence (Cambridge MA), Adaptive computing system.
  2. Holland John H. (3800 W. Huron River Dr. Ann Arbor MI 48103) Burks Arthur W. (3445 Vintage Valley Rd. Ann Arbor MI 48105), Adaptive computing system capable of learning and discovery.
  3. Bhanu Bir (New Brigton MN) Lee Sungkee (St. Paul MN) Ming John C. (Coon Rapids MN), Adaptive image segmentation system.
  4. Crain Louis M. (Lake Arrowhead CA), Automated coin grading system.
  5. Arnold William C. (Mahopac NY) Chess David M. (Mohegan Lake NY) Kephart Jeffrey O. (Yorktown Heights NY) White Steven R. (New York NY), Automatic immune system for computers and computer networks.
  6. Branigin Michael H. (151 Ivy Hills Rd. Southbury CT 06488), Computer processor with an efficient means of executing many instructions simultaneously.
  7. Alexander Rhonda L. (Austin TX) Irrgang Michael E. (Austin TX) Kirchner John A. (Austin TX), Computer-aided decision making with a symbolic spreadsheet.
  8. Winston Patrick H. (88 Monument St. Concord MA 01742), Data processing system and method for searching for improved results from a process.
  9. Stork David G. (Stanford CA) Keesing Ronald C. (Menlo Park CA), Evolution and learning in neural networks: the number and distribution of learning trials affect the rate of evolution.
  10. Shaefer Craig G. (Charlestown MA), Genetic algorithm.
  11. Guha Aloke (Minneapolis MN) Harp Steven A. (St. Paul MN) Samad Tariq (Minneapolis MN), Genetic algorithm synthesis of neural networks.
  12. Harvey Robert L. (Lexington MA), Genetic algorithm technique for designing neural networks.
  13. Nara Shigetoshi (Hyogo JPX) Banzhaf Wolfgang (Hyogo JPX) Ishii Toshinao (Hyogo JPX) Iwamoto Takashi (Hyogo JPX), Information retrieval system.
  14. Banzhaf Wolfgang (Castrop-Rauxel DEX), Integer string rule detection system.
  15. Gillies Andrew M. (Ann Arbor MI), Machine learning procedures for generating image domain feature detector structuring elements.
  16. Weininger David (Santa Fe NM), Method and apparatus for designing molecules with desired properties by evolving successive populations.
  17. Eshelman Larry J. (Ossining NY) Schaffer James D. (Wappingers Falls NY), Method for optimizing the configuration of a pick and place machine.
  18. Holland John H. (Ann Arbor MI) Burks Arthur W. (Ann Arbor MI), Method of controlling a classifier system.
  19. Ahmed Sultan (560 Mill Creek La. #312 Santa Clara CA 95054), Network based machine instruction generator for design verification.
  20. Yu Shiaw-Shian (Hsinchu TWX) Tsai Wen-Hsiang (Hsinchu TWX), Neural network for performing a relaxation process.
  21. Koza John R. (2961 Industrial Rd. - No. 612 Las Vegas NV 89109), Non-linear genetic algorithms for solving problems.
  22. Koza John R. (25372 La Rena La. Los Altos Hills CA 94022), Non-linear genetic algorithms for solving problems by finding a fit composition of functions.
  23. Koza John R. (25372 La Rena La. Los Altos CA 94022) Rice James P. (Redwood City CA), Non-linear genetic process for data encoding and for solving problems using automatically defined functions.
  24. Koza John R. (25372 La Rena La. Los Altos Hills CA 94022) Rice James P. (Redwood City CA), Non-linear genetic process for use with plural co-evolving populations.
  25. Shaefer Craig G. (Charlestown MA), Optimization techniques using genetic algorithms.
  26. Koza John R. (25372 La Rena La. Los Altos Hills CA 94022) Rice James P. (Redwood City CA), Process for problem solving using spontaneously emergent self-replicating and self-improving entities.
  27. Li Chou H. (379 Elm Dr. Roslyn NY 11576), Self-optimizing method and machine.
  28. Nakamura Shizuka (Tokyo JPX), State space search system.

이 특허를 인용한 특허 (24)

  1. Cantin, Jason F., Adaptive cataclysms in genetic algorithms.
  2. Cantin, Jason F., Adaptive cataclysms in genetic algorithms.
  3. Cantin, Jason F., Controlling quarantining and biasing in cataclysms for optimization simulations.
  4. Cantin, Jason F., Controlling quarantining and biasing in cataclysms for optimization simulations.
  5. Cantin, Jason F., Controlling quarantining and biasing in cataclysms for optimization simulations.
  6. Nair, Ravi; Stoodley, Kevin A., Dynamic translation in the presence of intermixed code and data.
  7. Chaudhry, Shailender; Jacobson, Quinn A.; Tremblay, Marc, Effective elimination of delay slot handling from a front section of a processor pipeline.
  8. Bell, Jr., Robert H.; Cantin, Jason F., Efficient storage of individuals for optimization simulation.
  9. Rice, Todd M.; Bennett, Gordon E., Fault tolerant and combinatorial software environment system, method and medium.
  10. Koza, John R.; Bennett, III, Forrest H; Andre, David; Keane, Martin A., Genetic programming problem solver with automatically defined stores loops and recursions.
  11. Shade,Douglas M., Integrated circuit with functional state configurable memory and method of configuring functional states of the integrated circuit memory.
  12. Shaya, Steven A.; Matheson, Neal; Singarayar, John Anthony; Kollias, Nikiforos; Bloom, Jeffrey Adam, Intelligent performance-based product recommendation system.
  13. Shaya, Steven A.; Matheson, Neal; Singarayar, John Anthony; Kollias, Nikiforos; Bloom, Jeffrey Adam, Intelligent performance-based product recommendation system.
  14. Fiske,Michael Stephen, Machine learning.
  15. Ramin C. Nakisa GB, Method and apparatus to model the variables of a data set.
  16. Downs,Oliver B.; Attias,Hagai; Burges,Christopher J. C.; Rounthwaite,Robert L., Quantum mechanical model-based system and method for global optimization.
  17. Fiske, Michael Stephen, Register and active element machines: commands, programs, simulators and translators.
  18. Cantin, Jason F., Speculative asynchronous sub-population evolutionary computing utilizing a termination speculation threshold.
  19. Moore,Bruce Wayne; Kraemer,James Richard, System and method of solving optimization problems using prestored advanced bases.
  20. Rice, Todd M.; Bennett, Gordon E., Toggling software characteristics in a fault tolerant and combinatorial software environment system, method and medium.
  21. Sale,Mark Edward, Unsupervised machine learning-based mathematical model selection.
  22. Cantin, Jason F., Using global and local catastrophes across sub-populations in parallel evolutionary computing.
  23. Cantin, Jason F., Using global and local catastrophes across sub-populations in parallel evolutionary computing.
  24. Buchheit, Robert, Video-based control and diagnostics system.
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