Perceptron (English Wikipedia)

Analysis of information sources in references of the Wikipedia article "Perceptron" in English language version.

refsWebsite

Global rank English rank

21doi.org

2^nd place

10worldcat.org

5^th place

5harvard.edu

18^th place

17^th place

5nih.gov

4^th place

5mit.edu

415^th place

327^th place

4semanticscholar.org

11^th place

8^th place

4dtic.mil

833^rd place

567^th place

3web.archive.org

1^st place

2jstor.org

26^th place

20^th place

2books.google.com

3^rd place

1ucsd.edu

1,933^rd place

1,342^nd place

1aps.org

1,503^rd place

1,378^th place

1bibsonomy.org

low place

1wpmucdn.com

low place

1cambridge.org

305^th place

264^th place

1tandfonline.com

507^th place

429^th place

1cam.ac.uk

670^th place

480^th place

1si.edu

340^th place

295^th place

1cia.gov

89^th place

147^th place

1archive.org

6^th place

1rpi.edu

7,240^th place

4,476^th place

1arxiv.org

69^th place

59^th place

1ams.org

451^st place

277^th place

1aclweb.org

low place

6,793^rd place

aclweb.org (Global: low place; English: 6,793^rd place)

McDonald, R.; Hall, K.; Mann, G. (2010). "Distributed Training Strategies for the Structured Perceptron" (PDF). Human Language Technologies: The 2010 Annual Conference of the North American Chapter of the ACL. Association for Computational Linguistics. pp. 456–464.

ams.org (Global: 451^st place; English: 277^th place)

Block, H. D.; Levin, S. A. (1970). "On the boundedness of an iterative procedure for solving a system of linear inequalities". Proceedings of the American Mathematical Society. 26 (2): 229–235. doi:10.1090/S0002-9939-1970-0265383-5. ISSN 0002-9939.

aps.org (Global: 1,503^rd place; English: 1,378^th place)

link.aps.org

Block, H. D. (1962-01-01). "The Perceptron: A Model for Brain Functioning. I". Reviews of Modern Physics. 34 (1): 123–135. Bibcode:1962RvMP...34..123B. doi:10.1103/RevModPhys.34.123. ISSN 0034-6861.

archive.org (Global: 6^th place; English: 6^th place)

Principles of neurodynamics: Perceptrons and the theory of brain mechanisms, by Frank Rosenblatt, Report Number VG-1196-G-8, Cornell Aeronautical Laboratory, published on 15 March 1961. The work reported in this volume has been carried out under Contract Nonr-2381 (00) (Project PARA) at C.A.L. and Contract Nonr-401(40), at Cornell Univensity.

arxiv.org (Global: 69^th place; English: 59^th place)

Mohri, Mehryar; Rostamizadeh, Afshin (2013). "Perceptron Mistake Bounds". arXiv:1305.0208 [cs.LG].

bibsonomy.org (Global: low place; English: low place)

McCulloch, W; Pitts, W (1943). "A Logical Calculus of Ideas Immanent in Nervous Activity". Bulletin of Mathematical Biophysics. 5 (4): 115–133. doi:10.1007/BF02478259.

books.google.com (Global: 3^rd place; English: 3^rd place)

Sejnowski, Terrence J. (2018). The Deep Learning Revolution. MIT Press. p. 47. ISBN 978-0-262-03803-4.
MacKay, David (2003-09-25). Information Theory, Inference and Learning Algorithms. Cambridge University Press. p. 483. ISBN 9780521642989.

cam.ac.uk (Global: 670^th place; English: 480^th place)

repository.cam.ac.uk

Penn, Jonathan (2021-01-11). Inventing Intelligence: On the History of Complex Information Processing and Artificial Intelligence in the United States in the Mid-Twentieth Century (Thesis). [object Object]. doi:10.17863/cam.63087.

cambridge.org (Global: 305^th place; English: 264^th place)

Nilsson, Nils J. (2009). "4.2.1. Perceptrons". The Quest for Artificial Intelligence. Cambridge: Cambridge University Press. ISBN 978-0-521-11639-8.

cia.gov (Global: 89^th place; English: 147^th place)

"Perception Concepts to Photo-Interpretation". www.cia.gov. Retrieved 2024-11-14.

doi.org (Global: 2^nd place; English: 2^nd place)

doi.org

Freund, Y.; Schapire, R. E. (1999). "Large margin classification using the perceptron algorithm" (PDF). Machine Learning. 37 (3): 277–296. doi:10.1023/A:1007662407062. S2CID 5885617.
Block, H. D. (1962-01-01). "The Perceptron: A Model for Brain Functioning. I". Reviews of Modern Physics. 34 (1): 123–135. Bibcode:1962RvMP...34..123B. doi:10.1103/RevModPhys.34.123. ISSN 0034-6861.
McCulloch, W; Pitts, W (1943). "A Logical Calculus of Ideas Immanent in Nervous Activity". Bulletin of Mathematical Biophysics. 5 (4): 115–133. doi:10.1007/BF02478259.
Rosenblatt, Frank (March 1960). "Perceptron Simulation Experiments". Proceedings of the IRE. 48 (3): 301–309. doi:10.1109/JRPROC.1960.287598. ISSN 0096-8390.
O’Connor, Jack (2022-06-21). "Undercover Algorithm: A Secret Chapter in the Early History of Artificial Intelligence and Satellite Imagery". International Journal of Intelligence and CounterIntelligence: 1–15. doi:10.1080/08850607.2022.2073542. ISSN 0885-0607. S2CID 249946000.
Rosenblatt, F. (1958). "The perceptron: A probabilistic model for information storage and organization in the brain". Psychological Review. 65 (6): 386–408. doi:10.1037/h0042519. ISSN 1939-1471. PMID 13602029.
Penn, Jonathan (2021-01-11). Inventing Intelligence: On the History of Complex Information Processing and Artificial Intelligence in the United States in the Mid-Twentieth Century (Thesis). [object Object]. doi:10.17863/cam.63087.
Guice, Jon (1998). "Controversy and the State: Lord ARPA and Intelligent Computing". Social Studies of Science. 28 (1): 103–138. doi:10.1177/030631298028001004. ISSN 0306-3127. JSTOR 285752. PMID 11619937.
Anderson, James A.; Rosenfeld, Edward, eds. (2000). Talking Nets: An Oral History of Neural Networks. The MIT Press. doi:10.7551/mitpress/6626.003.0004. ISBN 978-0-262-26715-1.
Olazaran, Mikel (1996). "A Sociological Study of the Official History of the Perceptrons Controversy". Social Studies of Science. 26 (3): 611–659. doi:10.1177/030631296026003005. JSTOR 285702. S2CID 16786738.
Irwin, Julia A. (2024-09-11). "Artificial Worlds and Perceptronic Objects: The CIA's Mid-century Automatic Target Recognition". Grey Room (97): 6–35. doi:10.1162/grey_a_00415. ISSN 1526-3819.
Nagy, George (March 1991). "Neural networks—then and now" (PDF). IEEE Transactions on Neural Networks. 2 (2): 316–318. doi:10.1109/72.80343. ISSN 1941-0093. PMID 18276386.
Cash, Sydney; Yuste, Rafael (1999). "Linear Summation of Excitatory Inputs by CA1 Pyramidal Neurons". Neuron. 22 (2): 383–394. doi:10.1016/S0896-6273(00)81098-3. PMID 10069343.
Cover, Thomas M. (June 1965). "Geometrical and Statistical Properties of Systems of Linear Inequalities with Applications in Pattern Recognition". IEEE Transactions on Electronic Computers. EC-14 (3): 326–334. doi:10.1109/PGEC.1965.264137. ISSN 0367-7508.
Šíma, Jiří; Orponen, Pekka (2003-12-01). "General-Purpose Computation with Neural Networks: A Survey of Complexity Theoretic Results". Neural Computation. 15 (12): 2727–2778. doi:10.1162/089976603322518731. ISSN 0899-7667. PMID 14629867.
Krauth, W.; Mezard, M. (1987). "Learning algorithms with optimal stability in neural networks". Journal of Physics A: Mathematical and General. 20 (11): L745 – L752. Bibcode:1987JPhA...20L.745K. doi:10.1088/0305-4470/20/11/013.
Block, H. D.; Levin, S. A. (1970). "On the boundedness of an iterative procedure for solving a system of linear inequalities". Proceedings of the American Mathematical Society. 26 (2): 229–235. doi:10.1090/S0002-9939-1970-0265383-5. ISSN 0002-9939.
Wendemuth, A. (1995). "Learning the Unlearnable". Journal of Physics A: Mathematical and General. 28 (18): 5423–5436. Bibcode:1995JPhA...28.5423W. doi:10.1088/0305-4470/28/18/030.
Wendemuth, A. (1995). "Performance of robust training algorithms for neural networks". Journal of Physics A: Mathematical and General. 28 (19): 5485–5493. Bibcode:1995JPhA...28.5485W. doi:10.1088/0305-4470/28/19/006.
Anlauf, J. K.; Biehl, M. (1989). "The AdaTron: an Adaptive Perceptron algorithm". Europhysics Letters. 10 (7): 687–692. Bibcode:1989EL.....10..687A. doi:10.1209/0295-5075/10/7/014. S2CID 250773895.

dx.doi.org

Rosenblatt, F. (1958). "The perceptron: A probabilistic model for information storage and organization in the brain". Psychological Review. 65 (6): 386–408. doi:10.1037/h0042519. ISSN 1939-1471. PMID 13602029.

dtic.mil (Global: 833^rd place; English: 567^th place)

apps.dtic.mil

Rosenblatt, Frank, and CORNELL UNIV ITHACA NY. Cognitive Systems Research Program. Technical report, Cornell University, 72, 1971.
Muerle, John Ludwig, and CORNELL AERONAUTICAL LAB INC BUFFALO NY. Project Para, Perceiving and Recognition Automata. Cornell Aeronautical Laboratory, Incorporated, 1963.
Hay, John Cameron (1960). Mark I perceptron operators' manual (Project PARA) / (PDF). Buffalo: Cornell Aeronautical Laboratory. Archived from the original (PDF) on 2023-10-27.
Barker, Trevor H. (1966-07-14). A Computer Program for Simulation of Perceptrons and Similar Neural Networks: Users' Manual (Technical Report). NONR 401 (40) and NSF GK-250. Ithaca, NY: Cornell University (published 1966).

harvard.edu (Global: 18^th place; English: 17^th place)

ui.adsabs.harvard.edu

Block, H. D. (1962-01-01). "The Perceptron: A Model for Brain Functioning. I". Reviews of Modern Physics. 34 (1): 123–135. Bibcode:1962RvMP...34..123B. doi:10.1103/RevModPhys.34.123. ISSN 0034-6861.
Krauth, W.; Mezard, M. (1987). "Learning algorithms with optimal stability in neural networks". Journal of Physics A: Mathematical and General. 20 (11): L745 – L752. Bibcode:1987JPhA...20L.745K. doi:10.1088/0305-4470/20/11/013.
Wendemuth, A. (1995). "Learning the Unlearnable". Journal of Physics A: Mathematical and General. 28 (18): 5423–5436. Bibcode:1995JPhA...28.5423W. doi:10.1088/0305-4470/28/18/030.
Wendemuth, A. (1995). "Performance of robust training algorithms for neural networks". Journal of Physics A: Mathematical and General. 28 (19): 5485–5493. Bibcode:1995JPhA...28.5485W. doi:10.1088/0305-4470/28/19/006.
Anlauf, J. K.; Biehl, M. (1989). "The AdaTron: an Adaptive Perceptron algorithm". Europhysics Letters. 10 (7): 687–692. Bibcode:1989EL.....10..687A. doi:10.1209/0295-5075/10/7/014. S2CID 250773895.

jstor.org (Global: 26^th place; English: 20^th place)

Guice, Jon (1998). "Controversy and the State: Lord ARPA and Intelligent Computing". Social Studies of Science. 28 (1): 103–138. doi:10.1177/030631298028001004. ISSN 0306-3127. JSTOR 285752. PMID 11619937.
Olazaran, Mikel (1996). "A Sociological Study of the Official History of the Perceptrons Controversy". Social Studies of Science. 26 (3): 611–659. doi:10.1177/030631296026003005. JSTOR 285702. S2CID 16786738.

mit.edu (Global: 415^th place; English: 327^th place)

direct.mit.edu

Anderson, James A.; Rosenfeld, Edward, eds. (2000). Talking Nets: An Oral History of Neural Networks. The MIT Press. doi:10.7551/mitpress/6626.003.0004. ISBN 978-0-262-26715-1.
Irwin, Julia A. (2024-09-11). "Artificial Worlds and Perceptronic Objects: The CIA's Mid-century Automatic Target Recognition". Grey Room (97): 6–35. doi:10.1162/grey_a_00415. ISSN 1526-3819.
Šíma, Jiří; Orponen, Pekka (2003-12-01). "General-Purpose Computation with Neural Networks: A Survey of Complexity Theoretic Results". Neural Computation. 15 (12): 2727–2778. doi:10.1162/089976603322518731. ISSN 0899-7667. PMID 14629867.

mitpress.mit.edu

[1] Foundations of Machine Learning, MIT Press (Chapter 8).

openlearninglibrary.mit.edu

"Introduction to Machine Learning, Chapter 3: Perceptron". openlearninglibrary.mit.edu. Retrieved 2023-10-27.

nih.gov (Global: 4^th place; English: 4^th place)

pubmed.ncbi.nlm.nih.gov

Rosenblatt, F. (1958). "The perceptron: A probabilistic model for information storage and organization in the brain". Psychological Review. 65 (6): 386–408. doi:10.1037/h0042519. ISSN 1939-1471. PMID 13602029.
Guice, Jon (1998). "Controversy and the State: Lord ARPA and Intelligent Computing". Social Studies of Science. 28 (1): 103–138. doi:10.1177/030631298028001004. ISSN 0306-3127. JSTOR 285752. PMID 11619937.
Nagy, George (March 1991). "Neural networks—then and now" (PDF). IEEE Transactions on Neural Networks. 2 (2): 316–318. doi:10.1109/72.80343. ISSN 1941-0093. PMID 18276386.
Cash, Sydney; Yuste, Rafael (1999). "Linear Summation of Excitatory Inputs by CA1 Pyramidal Neurons". Neuron. 22 (2): 383–394. doi:10.1016/S0896-6273(00)81098-3. PMID 10069343.
Šíma, Jiří; Orponen, Pekka (2003-12-01). "General-Purpose Computation with Neural Networks: A Survey of Complexity Theoretic Results". Neural Computation. 15 (12): 2727–2778. doi:10.1162/089976603322518731. ISSN 0899-7667. PMID 14629867.

rpi.edu (Global: 7,240^th place; English: 4,476^th place)

sites.ecse.rpi.edu

Nagy, George (March 1991). "Neural networks—then and now" (PDF). IEEE Transactions on Neural Networks. 2 (2): 316–318. doi:10.1109/72.80343. ISSN 1941-0093. PMID 18276386.

semanticscholar.org (Global: 11^th place; English: 8^th place)

api.semanticscholar.org

Freund, Y.; Schapire, R. E. (1999). "Large margin classification using the perceptron algorithm" (PDF). Machine Learning. 37 (3): 277–296. doi:10.1023/A:1007662407062. S2CID 5885617.
O’Connor, Jack (2022-06-21). "Undercover Algorithm: A Secret Chapter in the Early History of Artificial Intelligence and Satellite Imagery". International Journal of Intelligence and CounterIntelligence: 1–15. doi:10.1080/08850607.2022.2073542. ISSN 0885-0607. S2CID 249946000.
Olazaran, Mikel (1996). "A Sociological Study of the Official History of the Perceptrons Controversy". Social Studies of Science. 26 (3): 611–659. doi:10.1177/030631296026003005. JSTOR 285702. S2CID 16786738.
Anlauf, J. K.; Biehl, M. (1989). "The AdaTron: an Adaptive Perceptron algorithm". Europhysics Letters. 10 (7): 687–692. Bibcode:1989EL.....10..687A. doi:10.1209/0295-5075/10/7/014. S2CID 250773895.

si.edu (Global: 340^th place; English: 295^th place)

americanhistory.si.edu

"Perceptron, Mark I". National Museum of American History. Retrieved 2023-10-30.

tandfonline.com (Global: 507^th place; English: 429^th place)

O’Connor, Jack (2022-06-21). "Undercover Algorithm: A Secret Chapter in the Early History of Artificial Intelligence and Satellite Imagery". International Journal of Intelligence and CounterIntelligence: 1–15. doi:10.1080/08850607.2022.2073542. ISSN 0885-0607. S2CID 249946000.

ucsd.edu (Global: 1,933^rd place; English: 1,342^nd place)

cseweb.ucsd.edu

Freund, Y.; Schapire, R. E. (1999). "Large margin classification using the perceptron algorithm" (PDF). Machine Learning. 37 (3): 277–296. doi:10.1023/A:1007662407062. S2CID 5885617.

web.archive.org (Global: 1^st place; English: 1^st place)

Hay, John Cameron (1960). Mark I perceptron operators' manual (Project PARA) / (PDF). Buffalo: Cornell Aeronautical Laboratory. Archived from the original (PDF) on 2023-10-27.
Rosenblatt, Frank (1962). “A Description of the Tobermory Perceptron.” Cognitive Research Program. Report No. 4. Collected Technical Papers, Vol. 2. Edited by Frank Rosenblatt. Ithaca, NY: Cornell University.
Nagy, George. 1963. System and circuit designs for the Tobermory perceptron. Technical report number 5, Cognitive Systems Research Program, Cornell University, Ithaca New York.

worldcat.org (Global: 5^th place; English: 5^th place)

search.worldcat.org

Block, H. D. (1962-01-01). "The Perceptron: A Model for Brain Functioning. I". Reviews of Modern Physics. 34 (1): 123–135. Bibcode:1962RvMP...34..123B. doi:10.1103/RevModPhys.34.123. ISSN 0034-6861.
Rosenblatt, Frank (March 1960). "Perceptron Simulation Experiments". Proceedings of the IRE. 48 (3): 301–309. doi:10.1109/JRPROC.1960.287598. ISSN 0096-8390.
O’Connor, Jack (2022-06-21). "Undercover Algorithm: A Secret Chapter in the Early History of Artificial Intelligence and Satellite Imagery". International Journal of Intelligence and CounterIntelligence: 1–15. doi:10.1080/08850607.2022.2073542. ISSN 0885-0607. S2CID 249946000.
Rosenblatt, F. (1958). "The perceptron: A probabilistic model for information storage and organization in the brain". Psychological Review. 65 (6): 386–408. doi:10.1037/h0042519. ISSN 1939-1471. PMID 13602029.
Guice, Jon (1998). "Controversy and the State: Lord ARPA and Intelligent Computing". Social Studies of Science. 28 (1): 103–138. doi:10.1177/030631298028001004. ISSN 0306-3127. JSTOR 285752. PMID 11619937.
Irwin, Julia A. (2024-09-11). "Artificial Worlds and Perceptronic Objects: The CIA's Mid-century Automatic Target Recognition". Grey Room (97): 6–35. doi:10.1162/grey_a_00415. ISSN 1526-3819.
Nagy, George (March 1991). "Neural networks—then and now" (PDF). IEEE Transactions on Neural Networks. 2 (2): 316–318. doi:10.1109/72.80343. ISSN 1941-0093. PMID 18276386.
Cover, Thomas M. (June 1965). "Geometrical and Statistical Properties of Systems of Linear Inequalities with Applications in Pattern Recognition". IEEE Transactions on Electronic Computers. EC-14 (3): 326–334. doi:10.1109/PGEC.1965.264137. ISSN 0367-7508.
Šíma, Jiří; Orponen, Pekka (2003-12-01). "General-Purpose Computation with Neural Networks: A Survey of Complexity Theoretic Results". Neural Computation. 15 (12): 2727–2778. doi:10.1162/089976603322518731. ISSN 0899-7667. PMID 14629867.
Block, H. D.; Levin, S. A. (1970). "On the boundedness of an iterative procedure for solving a system of linear inequalities". Proceedings of the American Mathematical Society. 26 (2): 229–235. doi:10.1090/S0002-9939-1970-0265383-5. ISSN 0002-9939.

wpmucdn.com (Global: low place; English: low place)

bpb-us-e2.wpmucdn.com

Rosenblatt, Frank (1957). "The Perceptron—a perceiving and recognizing automaton" (PDF). Report 85-460-1. Cornell Aeronautical Laboratory.

Perceptron (English Wikipedia)

aclweb.org (Global: low place; English: 6,793rd place)

ams.org (Global: 451st place; English: 277th place)

aps.org (Global: 1,503rd place; English: 1,378th place)

link.aps.org

archive.org (Global: 6th place; English: 6th place)

arxiv.org (Global: 69th place; English: 59th place)

bibsonomy.org (Global: low place; English: low place)

books.google.com (Global: 3rd place; English: 3rd place)

cam.ac.uk (Global: 670th place; English: 480th place)

repository.cam.ac.uk

cambridge.org (Global: 305th place; English: 264th place)

cia.gov (Global: 89th place; English: 147th place)

doi.org (Global: 2nd place; English: 2nd place)

doi.org

dx.doi.org

dtic.mil (Global: 833rd place; English: 567th place)

apps.dtic.mil

harvard.edu (Global: 18th place; English: 17th place)

ui.adsabs.harvard.edu

jstor.org (Global: 26th place; English: 20th place)

mit.edu (Global: 415th place; English: 327th place)

direct.mit.edu

mitpress.mit.edu

openlearninglibrary.mit.edu

nih.gov (Global: 4th place; English: 4th place)

pubmed.ncbi.nlm.nih.gov

rpi.edu (Global: 7,240th place; English: 4,476th place)

sites.ecse.rpi.edu

semanticscholar.org (Global: 11th place; English: 8th place)

api.semanticscholar.org

si.edu (Global: 340th place; English: 295th place)

americanhistory.si.edu

tandfonline.com (Global: 507th place; English: 429th place)

ucsd.edu (Global: 1,933rd place; English: 1,342nd place)

cseweb.ucsd.edu

web.archive.org (Global: 1st place; English: 1st place)

worldcat.org (Global: 5th place; English: 5th place)

search.worldcat.org

wpmucdn.com (Global: low place; English: low place)

bpb-us-e2.wpmucdn.com

aclweb.org (Global: low place; English: 6,793^rd place)

ams.org (Global: 451^st place; English: 277^th place)

aps.org (Global: 1,503^rd place; English: 1,378^th place)

archive.org (Global: 6^th place; English: 6^th place)

arxiv.org (Global: 69^th place; English: 59^th place)

books.google.com (Global: 3^rd place; English: 3^rd place)

cam.ac.uk (Global: 670^th place; English: 480^th place)

cambridge.org (Global: 305^th place; English: 264^th place)

cia.gov (Global: 89^th place; English: 147^th place)

doi.org (Global: 2^nd place; English: 2^nd place)

dtic.mil (Global: 833^rd place; English: 567^th place)

harvard.edu (Global: 18^th place; English: 17^th place)

jstor.org (Global: 26^th place; English: 20^th place)

mit.edu (Global: 415^th place; English: 327^th place)

nih.gov (Global: 4^th place; English: 4^th place)

rpi.edu (Global: 7,240^th place; English: 4,476^th place)

semanticscholar.org (Global: 11^th place; English: 8^th place)

si.edu (Global: 340^th place; English: 295^th place)

tandfonline.com (Global: 507^th place; English: 429^th place)

ucsd.edu (Global: 1,933^rd place; English: 1,342^nd place)

web.archive.org (Global: 1^st place; English: 1^st place)

worldcat.org (Global: 5^th place; English: 5^th place)