Difference between revisions of "Shaul Markovitch"
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'''Shaul Markovitch''',<br/> | '''Shaul Markovitch''',<br/> | ||
an Israeli computer scientist, [[Artificial Intelligence|AI]] researcher, and faculty member in the Computer Science department at [https://en.wikipedia.org/wiki/Technion_%E2%80%93_Israel_Institute_of_Technology Technion - Israel Institute of Technology]. | an Israeli computer scientist, [[Artificial Intelligence|AI]] researcher, and faculty member in the Computer Science department at [https://en.wikipedia.org/wiki/Technion_%E2%80%93_Israel_Institute_of_Technology Technion - Israel Institute of Technology]. | ||
+ | He holds M.Sc. and Ph.D. degrees in [https://en.wikipedia.org/wiki/Electrical_engineering electrical engineering] and computer science from [[University of Michigan]] in 1985 and 1989 respectively <ref>[http://www.cs.technion.ac.il/%7Eshaulm/cv.pdf Curriculum Vitae Shaul Markovitch] (pdf)</ref>. | ||
His research covers [[Learning|machine learning]] and [[Artificial Intelligence|AI]] with the topics selective learning, speedup learning, | His research covers [[Learning|machine learning]] and [[Artificial Intelligence|AI]] with the topics selective learning, speedup learning, | ||
feature generation, active learning, learning in [https://en.wikipedia.org/wiki/Multi-agent_system multi-agent systems], [[Opponent Model Search|opponent modeling]], game playing, [https://en.wikipedia.org/wiki/Anytime_algorithm anytime algorithms], [https://en.wikipedia.org/wiki/Resource_bounded_measure resource-bounded] [https://en.wikipedia.org/wiki/Logical_reasoning reasoning], [https://en.wikipedia.org/wiki/Reasoning_system#Reasoning_under_uncertainty reasoning under uncertainty], and [https://en.wikipedia.org/wiki/Heuristic heuristic] [[Search|search]] | feature generation, active learning, learning in [https://en.wikipedia.org/wiki/Multi-agent_system multi-agent systems], [[Opponent Model Search|opponent modeling]], game playing, [https://en.wikipedia.org/wiki/Anytime_algorithm anytime algorithms], [https://en.wikipedia.org/wiki/Resource_bounded_measure resource-bounded] [https://en.wikipedia.org/wiki/Logical_reasoning reasoning], [https://en.wikipedia.org/wiki/Reasoning_system#Reasoning_under_uncertainty reasoning under uncertainty], and [https://en.wikipedia.org/wiki/Heuristic heuristic] [[Search|search]] | ||
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=Selected Publications= | =Selected Publications= | ||
<ref>[https://dblp.uni-trier.de/pers/hd/m/Markovitch:Shaul dblp: Shaul Markovitch]</ref> | <ref>[https://dblp.uni-trier.de/pers/hd/m/Markovitch:Shaul dblp: Shaul Markovitch]</ref> | ||
+ | ==1988 ...== | ||
+ | * [[Shaul Markovitch]], [[Mathematician#PDScott|Paul D. Scott]] ('''1988'''). ''[https://www.semanticscholar.org/paper/The-Role-of-Forgetting-in-Learning-Markovitch-Scott/adbd75db1f85dd3545b4d6b8bba509bf20d7bfce The Role of Forgetting in Learning]''. [https://dblp.uni-trier.de/db/conf/icml/ml1988.html ML 1988], [http://www.cs.technion.ac.il/~shaulm/papers/pdf/Markovitch-Scott-icml1988.pdf pdf] | ||
+ | * [[Shaul Markovitch]], [[Mathematician#PDScott|Paul D. Scott]] ('''1989'''). ''[https://dl.acm.org/doi/10.5555/1623755.1623872 Utilization Filtering: A Method for Reducing the Inherent Harmfulness of Deductively Learned Knowledge]''. [[Conferences#IJCAI1989|IJCAI 1989]], [http://www.cs.technion.ac.il/~shaulm/papers/pdf/Markovitch-Scott-ijcai1989.pdf pdf] | ||
==1990 ...== | ==1990 ...== | ||
* [[Shaul Markovitch]], [[Yaron Sella]] ('''1993'''). ''[https://onlinelibrary.wiley.com/doi/abs/10.1111/j.1467-8640.1996.tb00254.x Learning of Resource Allocation Strategies for Game Playing]''. [[Conferences#IJCAI1993|IJCAI 1993]], [https://www.ijcai.org/Proceedings/93-2/Papers/020.pdf pdf] | * [[Shaul Markovitch]], [[Yaron Sella]] ('''1993'''). ''[https://onlinelibrary.wiley.com/doi/abs/10.1111/j.1467-8640.1996.tb00254.x Learning of Resource Allocation Strategies for Game Playing]''. [[Conferences#IJCAI1993|IJCAI 1993]], [https://www.ijcai.org/Proceedings/93-2/Papers/020.pdf pdf] |
Revision as of 22:41, 2 July 2020
Home * People * Shaul Markovitch
Shaul Markovitch,
an Israeli computer scientist, AI researcher, and faculty member in the Computer Science department at Technion - Israel Institute of Technology.
He holds M.Sc. and Ph.D. degrees in electrical engineering and computer science from University of Michigan in 1985 and 1989 respectively [2].
His research covers machine learning and AI with the topics selective learning, speedup learning,
feature generation, active learning, learning in multi-agent systems, opponent modeling, game playing, anytime algorithms, resource-bounded reasoning, reasoning under uncertainty, and heuristic search
[3].
Contents
Photos
Shaul Markovitch talks on How Computers Play Chess at the Man vs Machine Symposium, University of Haifa, October 2002 [4]
Selected Publications
1988 ...
- Shaul Markovitch, Paul D. Scott (1988). The Role of Forgetting in Learning. ML 1988, pdf
- Shaul Markovitch, Paul D. Scott (1989). Utilization Filtering: A Method for Reducing the Inherent Harmfulness of Deductively Learned Knowledge. IJCAI 1989, pdf
1990 ...
- Shaul Markovitch, Yaron Sella (1993). Learning of Resource Allocation Strategies for Game Playing. IJCAI 1993, pdf
- David Carmel, Shaul Markovitch (1993). Learning Models of Opponent's Strategy in Game Playing. AAAI 1993, FS-93-02, pdf
- David Carmel, Shaul Markovitch (1994). The M* Algorithm: Incorporating Opponent Models into Adversary Search. CIS Report #9402, pdf [6]
- David Carmel, Shaul Markovitch (1995). Opponent Modeling in Multi-Agent Systems. IJCAI 1995, pdf
- David Carmel, Shaul Markovitch (1996). Incorporating Opponent Models into Adversary Search. AAAI 1996, pdf
- David Carmel, Shaul Markovitch (1997). Exploration and Adaptation in Multiagent Systems: A Model-based Approach. IJCAI 1997, pdf
- David Carmel, Shaul Markovitch (1998). How to Explore your Opponent's Strategy (almost) Optimally. ICMAS 1998
- Lev Finkelstein, Shaul Markovitch (1998). Learning to Play Chess Selectively by Acquiring Move Patterns. ICCA Journal, Vol. 21, No. 2, pdf
- Lev Finkelstein, Shaul Markovitch (1998). A Selective Macro-learning Algorithm and its Application to the NxN Sliding-Tile Puzzle. JAIR, Vol. 8, arXiv:cs/9806102
- David Carmel, Shaul Markovitch (1998). Pruning Algorithms for Multi-Model Adversary Search. Artificial Intelligence, Vol. 99, No. 2
2000 ...
- Shaul Markovitch (2002). Tutorial: How Computers Play Chess. Man vs Machine Symposium
- Lev Finkelstein, Shaul Markovitch, Ehud Rivlin (2003). Optimal Schedules for Parallelizing Anytime Algorithms: The Case of Shared Resources. JAIR, Vol. 19, arXiv:1106.5269
- Dmitry Davidov, Shaul Markovitch (2006). Multiple-Goal Heuristic Search. JAIR, Vol. 26, arXiv:1109.6618
- Evgeniy Gabrilovich, Shaul Markovitch (2007). Computing Semantic Relatedness Using Wikipedia-based Explicit Semantic Analysis. IJCAI 2007, pdf
- Saher Esmeir, Shaul Markovitch (2007). Occam's Razor Just Got Sharper. IJCAI 2007, pdf
- Evgeniy Gabrilovich, Shaul Markovitch (2009). Wikipedia-based Semantic Interpretation for Natural Language Processing. JAIR, Vol. 34, arXiv:1401.5697
2010 ...
- Carmel Domshlak, Erez Karpas, Shaul Markovitch (2012). Online Speedup Learning for Optimal Planning. JAIR, Vol. 44, arXiv:1401.5861
- Lior Friedman, Shaul Markovitch (2018). Recursive Feature Generation for Knowledge-based Learning. arXiv:1802.00050
2020 ...
- Michal Badian, Shaul Markovitch (2020). Knowledge-Based Learning through Feature Generation. arXiv:2006.03874
External Links
- Shaul Markovitch's Home Page
- Shaul Markovitch - Google Scholar Citations
- Shaul Markovitch - The Mathematics Genealogy Project
- Shaul Markovitch - YouTube
- Shaul Markovitch, Ziv Cohen, Peer Sagiv, Ilya Smagloy - Shine On You Crazy Diamond, Technion, November 04, 2019, YouTube Video
References
- ↑ Shaul Markovitch's Home Page
- ↑ Curriculum Vitae Shaul Markovitch (pdf)
- ↑ Shaul Markovitch - Research summary
- ↑ Man vs. Machine: The Experiment October 15-16, 2002, University of Haifa
- ↑ dblp: Shaul Markovitch
- ↑ Re: Different eval for white/black by Ronald de Man, CCC, January 08, 2015