1994 …2024

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  • 2024

    Accelerating the LZ-complexity algorithm

    Ratsaby , J. & Timashkov, A., 2024, (Accepted/In press) Proceedings of of International Conference on Parallel and Distributed Systems (ICPADS’23), Ocean Flower Island, Hainan, China, December 17-21, 2023. Institute of Electrical and Electronics Engineers Inc., p. 1 8 p.

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

  • Multi-GPU processing of unstructured data for machine learning

    Ratsaby, J. & Timashkov, A., 2024, Research Paper Proceedings of the ISC High Performance 2024. Institute of Electrical and Electronics Engineers Inc., (Research Paper Proceedings of the ISC High Performance 2024).

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

  • 2023

    Accelerating the LZ-complexity algorithm

    Ratsaby, J. & Timashkov, A., 2023, Proceedings - 2023 IEEE 29th International Conference on Parallel and Distributed Systems, ICPADS 2023. IEEE Computer Society, p. 200-207 8 p. (Proceedings of the International Conference on Parallel and Distributed Systems - ICPADS).

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

    1 Scopus citations
  • 2018

    On how complexity affects the stability of a predictor

    Ratsaby, J., 2018, International Conference on Artificial Intelligence and Statistics, AISTATS 2018Pages 161 - 1672018 21st International Conference on Artificial Intelligence and Statistics, AISTATS 2018Playa Blanca, Lanzarote, Canary Islands9 April 2018through 11 April 2018. p. 161-167 7 p.

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

  • On the errors of a predictor which is calibrated to its random environment

    Ratsaby , J., 21 Feb 2018, Proceedings of the International Zurich Seminar on Information and Communications. Lapidoth, A. & Moser , S. M. (eds.). p. 162-166 5 p.

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

  • Parallelizing the Large-Width learning algorithm

    Ratsaby, J. & Sabaty, A., 2 Jul 2018, 2018 IEEE International Conference on the Science of Electrical Engineering in Israel, ICSEE 2018. Institute of Electrical and Electronics Engineers Inc., 8646024. (2018 IEEE International Conference on the Science of Electrical Engineering in Israel, ICSEE 2018).

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

    1 Scopus citations
  • 2015

    A parallel distributed processing algorithm for image feature extraction

    Belousov, A. & Ratsaby, J., 2015, Advances in Intelligent Data Analysis XIV - 14th International Symposium, IDA 2015, Proceedings. De Bie, T., van Leeuwen, M. & Fromont, E. (eds.). p. 61-71 11 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 9385).

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

    2 Scopus citations
  • On complexity and randomness of Markov-chain prediction

    Ratsaby, J., 24 Jun 2015, 2015 IEEE Information Theory Workshop, ITW 2015. Institute of Electrical and Electronics Engineers Inc., 7133078. (2015 IEEE Information Theory Workshop, ITW 2015).

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

  • 2014

    A new pseudo-metric for fuzzy sets

    Kovacs, L. & Ratsaby, J., 2014, Artificial Intelligence and Soft Computing - 13th International Conference, ICAISC 2014, Proceedings. PART 1 ed. p. 205-216 12 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 8467 LNAI, no. PART 1).

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

  • Massively parallel computations of the LZ-complexity of strings

    Belousov, A. & Ratsaby, J., 2014, 2014 IEEE 28th Convention of Electrical and Electronics Engineers in Israel, IEEEI 2014. Institute of Electrical and Electronics Engineers Inc., 7005885. (2014 IEEE 28th Convention of Electrical and Electronics Engineers in Israel, IEEEI 2014).

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

    4 Scopus citations
  • 2013

    Machine learning for image classification and clustering using a universal distance measure

    Chester, U. & Ratsaby, J., 2013, Similarity Search and Applications - 6th International Conference, SISAP 2013, Proceedings. p. 59-72 14 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 8199 LNCS).

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

    11 Scopus citations
  • Maximal-margin case-based inference

    Anthony, M. & Ratsaby, J., 2013, 2013 13th UK Workshop on Computational Intelligence, UKCI 2013. p. 112-119 8 p. 6651295. (2013 13th UK Workshop on Computational Intelligence, UKCI 2013).

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

  • Quantifying accuracy of learning via sample width

    Anthony, M. & Ratsaby, J., 2013, Proceedings of the 2013 IEEE Symposium on Foundations of Computational Intelligence, FOCI 2013 - 2013 IEEE Symposium Series on Computational Intelligence, SSCI 2013. p. 84-90 7 p. 6602459. (Proceedings of the 2013 IEEE Symposium on Foundations of Computational Intelligence, FOCI 2013 - 2013 IEEE Symposium Series on Computational Intelligence, SSCI 2013).

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

  • 2012

    FPGA-based data compressor based on prediction by partial matching

    Ratsaby, J. & Sirota, V., 2012, 2012 IEEE 27th Convention of Electrical and Electronics Engineers in Israel, IEEEI 2012. 6377120. (2012 IEEE 27th Convention of Electrical and Electronics Engineers in Israel, IEEEI 2012).

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

    1 Scopus citations
  • Parallel processing algorithm for Bayesian network inference

    Kaspi, G. & Ratsaby, J., 2012, 2012 IEEE 27th Convention of Electrical and Electronics Engineers in Israel, IEEEI 2012. 6377114. (2012 IEEE 27th Convention of Electrical and Electronics Engineers in Israel, IEEEI 2012).

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

    2 Scopus citations
  • The performance of a new hybrid classifier based on boxes and nearest neighbors

    Anthony, M. & Ratsaby, J., 2012, International Symposium on Artificial Intelligence and Mathematics, ISAIM 20122012 International Symposium on Artificial Intelligence and Mathematics, ISAIM 20129 January 2012through 11 January 2012.

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

    4 Scopus citations
  • Universal distance measure for images

    Chester, U. A. & Ratsaby, J., 2012, 2012 IEEE 27th Convention of Electrical and Electronics Engineers in Israel, IEEEI 2012. 6377115. (2012 IEEE 27th Convention of Electrical and Electronics Engineers in Israel, IEEEI 2012).

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

    8 Scopus citations
  • 2011

    Information set-distance

    Ratsaby , J., 13 Oct 2011, MATCOS-10: Proceedings of the 2010 Middle–European Conference on Applied Theoretical Computer Science. Koper, Slovenia: University of Primorska, p. 61-63 3 p.

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

  • Prediction by compression

    Ratsaby, J., 2011, Proceedings of the 8th IASTED International Conference on Signal Processing, Pattern Recognition, and Applications, SPPRA 2011. p. 282-288 7 p. (Proceedings of the 8th IASTED International Conference on Signal Processing, Pattern Recognition, and Applications, SPPRA 2011).

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

    Open Access
    2 Scopus citations
  • 2010

    An FPGA-based pattern classifier using data compression

    Ratsaby, J. & Zavielov, D., 2010, 2010 IEEE 26th Convention of Electrical and Electronics Engineers in Israel, IEEEI 2010. p. 320-324 5 p. 5662214. (2010 IEEE 26th Convention of Electrical and Electronics Engineers in Israel, IEEEI 2010).

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

    4 Scopus citations
  • 2009

    On the randomness in learning

    Ratsaby, J., 2009, ICCC 2009 - IEEE 7th International Conference on Computational Cybernetics. p. 141-145 5 p. 5393947. (ICCC 2009 - IEEE 7th International Conference on Computational Cybernetics).

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

    3 Scopus citations
  • Random patterns and complexity in static structures

    Ratsaby, J. & Chaskalovic, J., 2009, International Conference on Artificial Intelligence and Pattern Recognition 2009, AIPR 2009. p. 255-260 6 p. (International Conference on Artificial Intelligence and Pattern Recognition 2009, AIPR 2009).

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

    3 Scopus citations
  • 2007

    Information efficiency

    Ratsaby, J., 2007, SOFSEM 2007: Theory and Practice of Computer Science - 33rd Conference on Current Trends in Theory and Practice of Computer Science, Proceedings. p. 475-487 13 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 4362 LNCS).

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

    4 Scopus citations
  • 2006

    Complexity of VC–dimension classes of sequences with long repetitive runs

    Ratsaby , J., 13 Mar 2006, Boolean Functions: Cryptography and Applications BFCA’06.

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

  • On the combinatorial representation of information

    Ratsaby, J., 2006, Computing and Combinatorics - 12th Annual International Conference, COCOON 2006, Proceedings. p. 479-488 10 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 4112 LNCS).

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

    2 Scopus citations
  • 2004

    On the complexity of samples for learning

    Ratsaby, J., 2004, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Chwa, K.-Y. & Ian Munro, J. (eds.). p. 198-209 12 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 3106).

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

  • 2003

    A stochastic gradient descent algorithm for structural risk minimisation

    Ratsaby, J., 2003, Algorithmic Learning Theory - 14th International Conference, ALT 2003, Proceedings. Gavalda, R., Jantke, K. P. & Takimoto, E. (eds.). p. 205-220 16 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 2842).

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

    2 Scopus citations
  • 2000

    On partially blind learning complexity

    Ratsaby, J. & Venkatesh, S. S., 2000, Proceedings - IEEE International Symposium on Circuits and SystemsVolume 2, Pages II-765-II-7682000 Proceedings of the IEEE 2000 International Symposium on Circuits and Systems, ISCAS 200028 May 2000through 31 May 2000. Vol. 2. p. II-765-II-768 (Proceedings - IEEE International Symposium on Circuits and Systems).

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

  • 1998

    An incremental nearest neighbor algorithm with queries

    Ratsaby, J., 1998, Advances in Neural Information Processing Systems 10 - Proceedings of the 1997 Conference, NIPS 1997. p. 612-618 7 p. (Advances in Neural Information Processing Systems).

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

  • 1997

    Generalization of the PAC-model for learning with partial information:(Extended abstract)

    Ratsaby, J. & Maiorov, V., 1997, Computational Learning Theory - 3rd European Conference, EuroCOLT 1997, Proceedings. Ben-David, S. (ed.). p. 51-65 15 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 1208).

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

  • 1996

    Towards robust model selection using estimation and approximation error bounds

    Ratsaby, J., Meir, R. & Maiorov, V., 1996, Proceedings of the Annual ACM Conference on Computational Learning TheoryPages 57 - 671996 Proceedings of the 1996 9th Annual Conference on Computational Learning Theory28 June 1996through 1 July 1996. p. 57-67 11 p.

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

    6 Scopus citations
  • 1995

    Learning from a mixture of labeled and unlabeled examples

    Ratsaby , J. & Venkatesh, S. S., 4 Oct 1995, Proceedings of the of 33rd Allerton Conference on Communication, Control, and Computing. Allerton, Illinois, U.S.A., p. 1002 8 p.

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

  • Learning from a mixture of labeled and unlabeled examples with parametric side information

    Ratsaby, J. & Venkatesh, S. S., 5 Jul 1995, Proceedings of the 8th Annual Conference on Computational Learning Theory, COLT 1995. p. 412-417 6 p. (Proceedings of the 8th Annual Conference on Computational Learning Theory, COLT 1995; vol. 1995-January).

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

    Open Access
    59 Scopus citations