Slajdy
Úvodní stránky, lineární regrese
Učení založené na instancích, IB3
Prokletí dimenzionality, bias-variance tradeoff,
třídy funkcí
Obrázky z knihy podívejte se na Information for instructors
Rozhodovací
stromy
Kdo byl na přednášce, ví, co nebylo odpředneseno ;-)
Dodatky ke stromům, MARS, PRIM
Ohodnocování
modelů
Kombinace
modelů
Support
vector machine
EM algoritmus na příkladu klastrování
Učení bez učitele - Nákupní košík (Apriori alg.), klastrování k-means, k-medoids, hierarchické
Slajdy 2005
Stavový
prostor, A* algoritmus (stary, ale elvivalentni)
Hry
dvou hráčů zkouší se všechna rozšíření alpha-beta algoritmu (o minimaxu
apod. ani nemluvě), přehled her a AO* se nezkouší.
Dokazování
ve výrokové logice
Dokazování
v predikátové logice (1. část)
Obecná
rezoluce (dokončení)
Plánování (STRIPS,
POP)
Expertní
systémy
Fuzzy logika
(Sémantické sítě
a rámce, systémy s dědičností, fuzzy logika )
Logika defaultů
Genetické
algoritmy, program TSP od K. Boukreev
program a nabídka článků
F.V. Jensen, C. Skaaning, U. Kjaerulff: The SACSO System for Troubleshooting of Printing Systems, základ Dezide | |||
Acting Optimally in Partially Observable Stochastic Domains | |||
Deep Blue (šachový program) | Petr Zíta | ||
Go | M. Mueller: Computer Go, Artificial Intelligence 134 (2002) 145-179 | ||
Analýza obrazu | R.Ronfard C.Schmid B.Triggs : Learning to Parse Pictures of People,European Conference on Computer Vision, LNCS 2553 volume 4 pages 700-714 June 2002 | ||
Scrabble | B. Sheppard: World/championship/caliber Scrabble, Artificial Intelligence 134 (2002), 241-275 | ||
Bridge | Bridge ftp://ftp.cirl.uoregon.edu/pub/users/ginsberg/papers/ gib.ps.gz , partition.ps.gz , bridge.ps.gz |
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Bioinformatika a Bayesovské sítě | Using Bayesian Networks to Analyze Expression Data (Source: Proceedings of the fourth annual international conference on Computational molecular biology, ACM Press) |
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aplikace GA | Peter Augustsson, Peter Nordin, Krister Wolff: Creation of a Learning, Flying Robot by Means of Evolution | ||
Suihong Liang A. Nur Zincir-Heywood Malcolm I. Heywood: Intelligent Packets for Dynamic Network Routing Using Distributed Genetic Algorithm | |||
Gerry
Dozier, Douglas Brown, Krystal Cain,John Hurley : Vulnerability Analysis
of Immunity-Based Intrusion Detection Systems Using Evolutionary Hackers
Particle Swarm Optimization Tutorial |
?? nebo tenhle? | ||
Data Mining | Ming-Syan Chen, Jiawei Hun, Philip S. Yu Data Mining: An Overview from Database Perspective vypustte detaily ci vyberte cast | ||
Bioinformatika | Marcel Dettling and Peter Bühlmann Supervised Clustering of Genes | ||
Roboti | Bagr: A. Stentz, J. Bares, S. Singh and P. Rowe: A Robotic Excavator for Autonomous Truck Loading | ||
Hry | H. Herik, J. Uiterwijk, J. Rijswijck: Games solved: Now and in the future, Artificial Intelligence 134 (2002) 277-311 | ||
aplikace | Jana Koehler, Daniel Ottiger: An AI-based Approach to Destination Control in Elevators | ||
sachy | M. Campbell, A. Hoane, F. Hsu: Deep Blue, Artificial Intelligence 134 (2002) 57-83) | ||
Poč. hry | Cavazza, M., Charles, F., and Mead, S.J., 2001.
Agents' Interaction in Virtual Storytelling. Intelligent Virtual Agents,
Madrid, Spain. |
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D. Suryadi, P. Gmytrasiewicz: Learning Models of Other Agents Using Influence Diagrams | |||
Daniel G. Schwartz Agent-oriented
epistemic reasoning: Subjective conditions of knowledge and belief, |
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M. Valtorta, Y. Kim, J. Vomlel: Soft evidential update for probabilistic multiagent systems, International Journal of Approximate Reasoning 29 (2002) 71-106 | |||
web | R. Khoussainov, N. Kushmerick: Automated Index Management for Distributed Web Search | ||
neuronové sítě pro roboty | |||
A. Kleiner, M. Dietl, and B. Nebel. Towards
a life-long learning soccer agent. In Proc. Int. RoboCup Symposium
'02, pages 119 -- 127. Fukuoka, Japan, 2002. http://citeseer.nj.nec.com/kleiner02towards.html |
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Quake III bot |
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Wolfram Burgarda, Armin B. Cremersa, Dieter Foxb, Dirk Hähnela, Gerhard Lakemeyerc, Dirk Schulza, Walter Steinera and Sebastian Thrun: Experiences with an interactive museum tour-guide robot, Artificial Intelligence , Volume 114, Issues 1-2 , October 1999, Pages 3-55 | |||
N. Arni, K. Ong, S. Tsur, H. Wang, C. Zaniolo: The Deductive Database System LDL++ | |||
Support Vector machines | Ch. Burges: A Tutorial on Support Vector Machines for Pattern Recognition | 15 | |
Správné usuzování | Judea Pearl: Reasoning with cause and effect | 16 | |
N. McCain and H. Turner, Causal Theories
of Action and Change T. Eiter, T. Lukasiewicz: Causes and Explanations in the Structural-Model Approach: Tractable Cases |
17 | ||
Diagnostika | G. Lamperti, M. Zanella: Diagnosis of discrete-event systems from uncertain temporal observations Artificial Intelligence 137 (2002) 91-163 | 19 | |
20 | |||
H. Langseth, F.V. Jensen:Decision Theoretic Troubleshooting of Coherent Systems | 21 | ||
Jine: | Influenční diagramy | 22 | |
aukce | A. Ockenfels, A. Roth: The Timing of B ids in Internet
Auctions: Market Design, Bidder Behavior, and Artificial Agents
a další |
23 | |
Integrace znalostí | A. Hunter, R. Summerton: NewsFusion Sistems: Logic-based merging of heterogenous news report | ||
Data mining: Mining very large databases | 24 | ||
J. Vomlel: Bayesian Networks in Educational Testing | |||
25 | |||
A fuzzy constraint based model for bilateral,
multi-issue negotiations in semi-competitive environments, Xudong Luo, Nicholas R. Jennings, Nigel Shadbolt, Ho-fung Leung and Jimmy Ho-man Lee |
26 | ||
Artificial Intelligence, Elsevier Volume 134
Knowledge and Information Systems, Springer
Soft Computing, Springer
Machine Learning, Kluwer
Data & Knowledge Engineering, Elsevier
Sborníky:
Conference on Uncertainty in Artificial Intelligence (UAI)
European Conference on Symbolic and Quantitative Approaches to Reasoning under Uncertainty (ECSQARU)
Elektronický archiv článků:
http://citeseer.nj.nec.com/csprogram a nabídka článků
Judea Pearl: Reasoning with Cause and Effect |
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K. Aas, L. Eikvil: Text Categorisation:
A Surway |
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Heckerman:A Tutorial on Learning Bayesian
Networks http://citeseer.ist.psu.edu/135897.html
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J. Cheng, R. Greiner: Comparing Bayesian
Network Classifiers |
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L. de Campos, J. Gamez, J. Puerta: Graphical
Models to Causal Discovery from Data |
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D.Allen, A. Darwiche: Optimal Time-Space
Tradeoff in Probabilistic Inference |
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S. Lauritzen, D. Nilsson: Prepresenting
and Solving Decision Problems with Limited Information |
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W. Smart, L. Kaelbling: Practical Reinforcement
Learning in Continuous Spaces |
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T. Nielsen, F. Jensen: Learning a decision
maker's utility function from (possibly) inconsistent behavior |
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G. Lamperti, M. Zanella: Diagnosis of
discrete-event systems from uncertain temporal observations Artificial
Intelligence 137 (2002) 91-163 |
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J. Charnes, P. Shenoy: Multi-stage Monte
Carlo Method For Solving Influence Diagrams Using Local Computation |
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1 | ||
P. J. Flemming R. C. Purshouse: Genetické algoritmy v teorii řízení | J. Benda - slajdy | ||
J. Charnes, P. Shenoy: Multi-stage Monte Carlo Method For Solving Influence Diagrams Using Local Computation | |||
Towards a general theory of topological maps, Pages 47-104
Emilio Remolina and Benjamin Kuipers, Volume 152, January 2004 |
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J. Lang, P. Liberatore and P. Marquis: Conditional inependence in propositional logic, pp. 79-123, AI 141, nb. 1-2, 2002 | |||
Reconstructing force-dynamic models from video sequences,
Pages 91-154 Jeffrey Mark Siskind, v 151, n 1-2, 2003 |
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Nonmonotonic inconsistency, Pages 161-178 Charles B. Cross, vol 149, is 2, 2003 |
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Fuzzy rrDFCSP and planning, Pages 11-52 Ian Miguel and Qiang Shen, vol 148, is. 1-2,2003 |
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Solving factored MDPs using non-homogeneous partitions, Pages
225-251 Kee-Eung Kim and Thomas Dean, vol. 147, nr. 1-2, 2003 |
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Object-based visual attention for computer vision, Pages
77-123 Yaoru Sun and Robert Fisher, v 146, i 1, 2003 |
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Similarity of personal preferences: Theoretical foundations
and empirical analysis, Pages 149-173 Vu Ha and Peter Haddawy, v 146, n2, 2003 |
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A. Cassandra, L.P. Kaelbling and M. L. Littman, Actiong Optimally in Partially Observable Stochastic Domains | |||
K. Aas and L. Eikvil, Text Categorisation: A Survey | |||
Spojení teorie rámců a Bayes. sítí | Daphne Koller,
Avi Pfeffer: Probabilisticframe-basedsystems
(1998) http://citeseer.nj.nec.com/koller98probabilistic.html |
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Logické programování a BN | David Poole, Probabilistic Horn abduction and Bayesian networks
(1993) Artificial Intelligence, 64, pp. 81-129 |
2 |
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učení BN | M. I. Jordan, Zoubin Ghahramani,
Tommi S. Jaakkola, Lawrence K. Saul: An Introduction to Variational Methods for Graphical Models
(1998) Machine Learning, 37(2_3), pp. 183-233
http://citeseer.nj.nec.com/37130.html(vybrali bychom část) |
3 |
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Constraint satis. prog. a BN
(Propagace v BN s omezeným prostorem) |
Adnan Darwiche: Recursive Conditioning Any-space
conditioning method with treewidth-bounded complexity (2000) Articial Intelligence Journal, 2000
http://citeseer.nj.nec.com/darwiche00recursive.html |
4 |
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fuzzy | Zimmermann H. J.: Fuzzy Set Theory - And Its Applications (kniha v MFF knihovně, vybrali bychom část) | 5 |
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A fuzzy constraint based model for bilateral,
multi-issue negotiations in semi-competitive environments, Xudong Luo, Nicholas R. Jennings, Nigel Shadbolt, Ho-fung Leung and Jimmy Ho-man Lee |
6 |
abdukce (log. prog, usuzuj v protisměru) | A. Kakas: Abduction in Logic Programming | 7 | |
anotované programy (log. prog. s více stupni pravdivosti) | M. Kifer, V.S. Subrahmanian: Theory of Generalized Annotated Logic Programming and its Applications | 8 | |
beliefs, default reasoning | D. Poole: The Effect of Knowledge on Belief: Conditioning, Specificity and the Lottery Paradox in Default Reasoning | 9 | |
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Diagnostika | G. Lamperti, M. Zanella: Diagnosis of discrete-event systems from uncertain temporal observations Artificial Intelligence 137 (2002) 91-163 (vzali bychom část) | 10 |
kauzalita | Judea Pearl: Probabilities of causation: Three conterfactual interpretations and their identification | 11 | |
N. McCain and H. Turner, Causal Theories of Action and
Change T. Eiter, T. Lukasiewicz: Causes and Explanations in the Structural-Model Approach: Tractable Cases |
12 | ||
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aukce | A. Ockenfels, A. Roth: The Timing of B ids
in Internet Auctions: Market Design, Bidder Behavior, and Artificial
Agents a další |
13 |
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kategorizace textu |
Fabrizio Sebastiani: Machine Learning in Automated Text Categorization (2002) ACM Computing Surveys http://citeseer.nj.nec.com/sebastiani02machine.html |
14 |
deduktivní databáze | N. Arni, K. Ong, S. Tsur, H. Wang, C. Zaniolo: The Deductive Database System LDL++ | 15 | |
abdukce v LP |
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http://www.jair.org/contents/v20.html | Long, D. and Fox, M. (2003) "The 3rd International Planning Competition: Results and Analysis", Volume 20, pages 1-59. | |
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Younes, H.L.S. and Simmons, R.G. (2003) "VHPOP: Versatile Heuristic Partial Order Planner", Volume 20, pages 405-430. | |
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Weiss, G.M. and Provost, F. (2003) "Learning When Training Data are Costly: The Effect of Class Distribution on Tree Induction", Volume 19, pages 315-354. | |
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