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ORCIDBernard Widrow
Person information
- affiliation: Stanford University, USA
- award (2001): Benjamin Franklin Medal
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2010 – 2019
- 2018
[j37]Yingxu Wang, Newton Howard, Janusz Kacprzyk
, Ophir Frieder, Phillip C.-Y. Sheu, Rodolfo A. Fiorini, Marina L. Gavrilova, Shushma Patel, Jun Peng, Bernard Widrow:
Cognitive Informatics: Towards Cognitive Machine Learning and Autonomous Knowledge Manipulation. Int. J. Cogn. Informatics Nat. Intell. 12(1): 1-13 (2018)- [c15]Bernard Widrow:
Nature's Learning Rule: The Hebbian-LMS Algorithm. ICCI*CC 2018: 2 - [e3]Yingxu Wang, Sam Kwong, Jerome Feldman, Newton Howard, Phillip C.-Y. Sheu, Bernard Widrow:
17th IEEE International Conference on Cognitive Informatics & Cognitive Computing, ICCI*CC 2018, Berkeley, CA, USA, July 16-18, 2018. IEEE Computer Society 2018, ISBN 978-1-5386-3360-1 [contents] - 2017
- [j36]Yingxu Wang, Lotfi A. Zadeh, Bernard Widrow, Newton Howard, Françoise Beaufays, George Baciu, D. Frank Hsu, Guiming Luo, Fumio Mizoguchi, Shushma Patel, Victor Raskin, Shusaku Tsumoto, Wei Wei, Du Zhang:
Abstract Intelligence: Embodying and Enabling Cognitive Systems by Mathematical Engineering. Int. J. Cogn. Informatics Nat. Intell. 11(1): 1-15 (2017) - [e2]Newton Howard, Yingxu Wang, Amir Hussain, Freddie Hamdy, Bernard Widrow, Lotfi A. Zadeh:
16th IEEE International Conference on Cognitive Informatics & Cognitive Computing, ICCI*CC 2017, Oxford, United Kingdom, July 26-28, 2017. IEEE Computer Society 2017, ISBN 978-1-5386-0771-8 [contents] - 2016
- [j35]Yingxu Wang, Bernard Widrow, Lotfi A. Zadeh, Newton Howard, Sally Wood, Virendrakumar C. Bhavsar, Gerhard Budin, Christine W. Chan, Rodolfo A. Fiorini, Marina L. Gavrilova, Duane F. Shell:
Cognitive Intelligence: Deep Learning, Thinking, and Reasoning by Brain-Inspired Systems. Int. J. Cogn. Informatics Nat. Intell. 10(4): 1-20 (2016) - [c14]Bernard Widrow:
Hebbian learning and the LMS algorithm. ICCI*CC 2016: 2 - [e1]Yingxu Wang, Newton Howard, Bernard Widrow, Konstantinos N. Plataniotis, Lotfi A. Zadeh:
15th IEEE International Conference on Cognitive Informatics & Cognitive Computing ,ICCI*CC 2016, Palo Alto, CA, USA, August 22-23, 2016. IEEE Computer Society 2016, ISBN 978-1-5090-3846-6 [contents] - [i1]Eunjoon Cho, Bowon Lee, Ronald W. Schafer, Bernard Widrow:
Single Channel Speech Enhancement Using Outlier Detection. CoRR abs/1605.01329 (2016) - 2015
- [j34]Guang-Bin Huang, Erik Cambria, Kar-Ann Toh, Bernard Widrow, Zongben Xu:
New Trends of Learning in Computational Intelligence [Guest Editorial]. IEEE Comput. Intell. Mag. 10(2): 16-17 (2015) - [j33]Guang-Bin Huang, Erik Cambria, Kar-Ann Toh, Bernard Widrow, Zongben Xu:
New Trends of Learning in Computational Intelligence (Part II) [Guest Editorial]. IEEE Comput. Intell. Mag. 10(3): 8 (2015) - [j32]Bernard Widrow, Youngsik Kim, Dookun Park:
The Hebbian-LMS Learning Algorithm. IEEE Comput. Intell. Mag. 10(4): 37-53 (2015) - 2014
- [j31]Nazmul H. Siddique, Bernard Widrow, Liam P. Maguire:
Introduction. Int. J. Neural Syst. 24(5) (2014) - 2013
- [j30]Bernard Widrow, Aaron Greenblatt, Youngsik Kim, Dookun Park:
The No-Prop algorithm: A new learning algorithm for multilayer neural networks. Neural Networks 37: 182-188 (2013) - [j29]Bernard Widrow:
Reply to the Comments on the "No-Prop" algorithm. Neural Networks 48: 204 (2013) - 2012
- [j28]Mia Nazmul Haque Siddique, Bernard Widrow, Filip Ponulak, L. J. McDaid:
Introduction. Int. J. Neural Syst. 22(4) (2012) - [c13]Eunjoon Cho, Julius O. Smith III, Bernard Widrow:
Exploiting the harmonic structure for speech enhancement. ICASSP 2012: 4569-4572 - [c12]Dookun Park, Bernard Widrow:
Memory-based Adaptive System Control with an example of Double Inverted Pendulum. Infotech@Aerospace 2012 - 2011
- [j27]Yingxu Wang, Bernard Widrow, Bo Zhang, Witold Kinsner, Kenji Sugawara, Fuchun Sun, Jianhua Lu, Thomas Weise, Du Zhang:
Perspectives on the Field of Cognitive Informatics and its Future Development. Int. J. Cogn. Informatics Nat. Intell. 5(1): 1-17 (2011) - 2010
- [j26]Bernard Widrow, Juan Aragon:
Cognitive Memory: Human Like Memory. Int. J. Softw. Sci. Comput. Intell. 2(4): 1-15 (2010) - [j25]Omer T. Inan, Mozziyar Etemadi, Bernard Widrow, Gregory T. A. Kovacs:
Adaptive Cancellation of Floor Vibrations in Standing Ballistocardiogram Measurements Using a Seismic Sensor as a Noise Reference. IEEE Trans. Biomed. Eng. 57(3): 722-727 (2010) - [c11]Bernard Widrow:
Cognitive memory and its applications. IEEE ICCI 2010: 1 - [c10]Yingxu Wang, Bernard Widrow, Bo Zhang, Witold Kinsner, Kenji Sugawara, Fuchun Sun, Thomas Weise, Yixin Zhong, Du Zhang:
Perspectives on cognitive informatics and its future development: Summary of plenary panel II of IEEE ICCI'10. IEEE ICCI 2010: 17-25
2000 – 2009
- 2009
- [c9]Bernard Widrow, Mozziyar Etemadi:
Cognitive memory: Human and machine. IJCNN 2009: 3365-3372 - 2005
- [j24]Bernard Widrow:
Thinking about thinking: the discovery of the LMS algorithm. IEEE Signal Process. Mag. 22(1): 100-106 (2005) - 2003
- [j23]Bernard Widrow, Max Kamenetsky:
Statistical efficiency of adaptive algorithms. Neural Networks 16(5-6): 735-744 (2003) - [j22]Fa-Long Luo, Bernard Widrow, Chaslav Pavlovic:
Special Issue on Speech Processing for Hearing Aids. Speech Commun. 39(1-2): 1-3 (2003) - [j21]Bernard Widrow, Fa-Long Luo:
Microphone arrays for hearing aids: An overview. Speech Commun. 39(1-2): 139-146 (2003) - 2002
- [j20]Bernard Widrow, Marcelo M. Lamego:
Neurointerfaces. IEEE Trans. Control. Syst. Technol. 10(2): 221-228 (2002) - 2001
- [j19]Chang-Yun Seong, Bernard Widrow:
Neural dynamic optimization for control systems. I. Background. IEEE Trans. Syst. Man Cybern. Part B 31(4): 482-489 (2001) - [j18]Chang-Yun Seong, Bernard Widrow:
Neural dynamic optimization for control systems.II. Theory. IEEE Trans. Syst. Man Cybern. Part B 31(4): 490-501 (2001) - [j17]Chang-Yun Seong, Bernard Widrow:
Neural dynamic optimization for control systems.III. Applications. IEEE Trans. Syst. Man Cybern. Part B 31(4): 502-513 (2001)
1990 – 1999
- 1994
- [j16]David E. Rumelhart, Bernard Widrow, Michael A. Lehr:
The Basic Ideas in Neural Networks. Commun. ACM 37(3): 87-92 (1994) - [j15]Bernard Widrow, David E. Rumelhart, Michael A. Lehr:
Neural Networks: Applications in Industry, Business and Science. Commun. ACM 37(3): 93-105 (1994) - [j14]Françoise Beaufays, Youssef Lotfy Abdel-Magid, Bernard Widrow:
Application of neural networks to load-frequency control in power systems. Neural Networks 7(1): 183-194 (1994) - 1993
- [j13]Bernard Widrow, Michael A. Lehr:
Adaptive neural networks and their applications. Int. J. Intell. Syst. 8(4): 453-507 (1993) - [c8]Bernard Widrow, Michael A. Lehr, Françoise Beaufays, Eric A. Wan, Michel Bilello:
Learning algorithms for adaptive processing and control. ICNN 1993: 1-8 - 1990
- [j12]Maryhelen Stevenson, Rodney Winter, Bernard Widrow:
Sensitivity of feedforward neural networks to weight errors. IEEE Trans. Neural Networks 1(1): 71-80 (1990) - [c7]Derrick Nguyen, Bernard Widrow:
Improving the learning speed of 2-layer neural networks by choosing initial values of the adaptive weights. IJCNN 1990: 21-26
1980 – 1989
- 1988
- [j11]Bernard Widrow, Rodney Winter:
Neural Nets for Adaptive Filtering and Adaptive Pattern Recognition. Computer 21(3): 25-39 (1988) - [j10]Rodney Winter, Bernard Widrow:
MADALINE Rule II: A training algorithm for neural networks. Neural Networks 1(Supplement-1): 148 (1988) - [j9]Viral V. Tolat, Bernard Widrow:
An adaptive neural net controller with visual inputs. Neural Networks 1(Supplement-1): 362-365 (1988) - [j8]Bernard Widrow, Rodney G. Winter, Robert A. Baxter:
Layered neural nets for pattern recognition. IEEE Trans. Acoust. Speech Signal Process. 36(7): 1109-1118 (1988) - [c6]Rodney Winter, Bernard Widrow:
MADALINE RULE II: a training algorithm for neural networks. ICNN 1988: 401-408 - [c5]Viral V. Tolat, Bernard Widrow:
An adaptive 'broom balancer' with visual inputs. ICNN 1988: 641-647 - 1986
- [c4]John J. Shynk, Bernard Widrow:
Bandpass adaptive pole-zero filtering. ICASSP 1986: 2107-2110 - 1984
- [j7]Bernard Widrow, Eugene Walach:
On the statistical efficiency of the LMS algorithm with nonstationary inputs. IEEE Trans. Inf. Theory 30(2): 211-221 (1984) - [j6]Eugene Walach, Bernard Widrow:
The least mean fourth (LMF) adaptive algorithm and its family. IEEE Trans. Inf. Theory 30(2): 275-282 (1984) - [c3]Bernard Widrow, Eugene Walach:
Adaptive signal processing for adaptive control. ICASSP 1984: 191-194 - 1981
- [c2]Bernard Widrow, Paul F. Titchener, Richard P. Gooch:
Adaptive design of digital filters. ICASSP 1981: 243-246
1970 – 1979
- 1979
- [c1]Bernard Widrow:
A review of adaptive antennas. ICASSP 1979: 273-278 - 1973
- [j5]Bernard Widrow:
The "rubber-mask" technique - I. Pattern measurement and analysis. Pattern Recognit. 5(3): 175-176 (1973) - [j4]Bernard Widrow:
The "rubber-mask" technique-II. Pattern storage and recognition. Pattern Recognit. 5(3): 199-211 (1973) - [j3]Bernard Widrow, Narendra K. Gupta, Sidhartha Maitra:
Punish/Reward: Learning with a Critic in Adaptive Threshold Systems. IEEE Trans. Syst. Man Cybern. 3(5): 455-465 (1973)
1960 – 1969
- 1965
- [j2]Karl Steinbuch, Bernard Widrow:
A Critical Comparison of Two Kinds of Adaptive Classification Networks. IEEE Trans. Electron. Comput. 14(5): 737-740 (1965)
1950 – 1959
- 1954
- [j1]Bernard Widrow:
A radio-frequency nondestructive readout for magnetic-core memories. Trans. I R E Prof. Group Electron. Comput. 3(4): 12-15 (1954)
Coauthor Index
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