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Milos Hauskrecht Vis

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*2008
28 Michal Valko, Milos Hauskrecht: Distance Metric Learning for Conditional Anomaly Detection. FLAIRS Conference 2008: 684-689
27EEShuguang Wang, Milos Hauskrecht: Improving biomedical document retrieval using domain knowledge. SIGIR 2008: 785-786
26EEBranislav Kveton, Milos Hauskrecht: Partitioned Linear Programming Approximations for MDPs. UAI 2008: 341-348
2007
25EETomás Singliar, Milos Hauskrecht: Modeling Highway Traffic Volumes. ECML 2007: 732-739
24EETomás Singliar, Milos Hauskrecht: Learning to Detect Adverse Traffic Events from Noisily Labeled Data. PKDD 2007: 236-247
23EERichard Pelikan, William L. Bigbee, David Malehorn, James Lyons-Weiler, Milos Hauskrecht: Intersession reproducibility of mass spectrometry profiles and its effect on accuracy of multivariate classification models. Bioinformatics 23(22): 3065-3072 (2007)
2006
22 Branislav Kveton, Milos Hauskrecht: Learning Basis Functions in Hybrid Domains. AAAI 2006
21EEDaniel Mossé, Louise Comfort, Ahmed Amer, José Carlos Brustoloni, Panos K. Chrysanthis, Milos Hauskrecht, Alexandros Labrinidis, Rami G. Melhem, Kirk Pruhs: Secure-CITI Critical Information-Technology Infrastructure. DG.O 2006: 253-254
20 Branislav Kveton, Milos Hauskrecht: Solving Factored MDPs with Exponential-Family Transition Models. ICAPS 2006: 114-120
19EEBranislav Kveton, Milos Hauskrecht, Carlos Guestrin: Solving Factored MDPs with Hybrid State and Action Variables. J. Artif. Intell. Res. (JAIR) 27: 153-201 (2006)
18EETomás Singliar, Milos Hauskrecht: Noisy-OR Component Analysis and its Application to Link Analysis. Journal of Machine Learning Research 7: 2189-2213 (2006)
2005
17EEBranislav Kveton, Milos Hauskrecht: An MCMC Approach to Solving Hybrid Factored MDPs. IJCAI 2005: 1346-1351
16 Tomás Singliar, Milos Hauskrecht: Variational Learning for Noisy-OR Component Analysis. SDM 2005
2004
15 Branislav Kveton, Milos Hauskrecht: Heuristic Refinements of Approximate Linear Programming for Factored Continuous-State Markov Decision Processes. ICAPS 2004: 306-314
14EEXinghua Lu, Milos Hauskrecht, Roger S. Day: Modeling Cellular Processes with Variational Bayesian Cooperative Vector Quantizer. Pacific Symposium on Biocomputing 2004: 533-544
13EECarlos Guestrin, Milos Hauskrecht, Branislav Kveton: Solving Factored MDPs with Continuous and Discrete Variables. UAI 2004: 235-242
2003
12EEMilos Hauskrecht, Branislav Kveton: Linear Program Approximations for Factored Continuous-State Markov Decision Processes. NIPS 2003
11 Milos Hauskrecht, Tomás Singliar: Monte-Carlo optimizations for resource allocation problems in stochastic network systems. UAI 2003: 305-312
2001
10EEMilos Hauskrecht, Eli Upfal: A Clustering Approach to Solving Large Stochastic Matching Problems. UAI 2001: 219-226
9 Milos Hauskrecht, Luis E. Ortiz, Ioannis Tsochantaridis, Eli Upfal: Efficient Methods for Computing Investment Strategies for Multi-Market Commodity Trading. Applied Artificial Intelligence 15(5): 429-452 (2001)
2000
8 Milos Hauskrecht, Luis E. Ortiz, Ioannis Tsochantaridis, Eli Upfal: Computing Global Strategies for Multi-Market Commodity Trading. AIPS 2000: 159-166
7 Milos Hauskrecht, Hamish S. F. Fraser: Planning treatment of ischemic heart disease with partially observable Markov decision processes. Artificial Intelligence in Medicine 18(3): 221-244 (2000)
6EEMilos Hauskrecht: Value-Function Approximations for Partially Observable Markov Decision Processes. J. Artif. Intell. Res. (JAIR) 13: 33-94 (2000)
1999
5 Milos Hauskrecht, Gopal Pandurangan, Eli Upfal: Computing Near Optimal Strategies for Stochastic Investment Planning Problems. IJCAI 1999: 1310-1315
1998
4 Nicolas Meuleau, Milos Hauskrecht, Kee-Eung Kim, Leonid Peshkin, Leslie Pack Kaelbling, Thomas Dean, Craig Boutilier: Solving Very Large Weakly Coupled Markov Decision Processes. AAAI/IAAI 1998: 165-172
3EEMilos Hauskrecht, Nicolas Meuleau, Leslie Pack Kaelbling, Thomas Dean, Craig Boutilier: Hierarchical Solution of Markov Decision Processes using Macro-actions. UAI 1998: 220-229
1997
2 Milos Hauskrecht: Incremental Methods for Computing Bounds in Partially Observable Markov Decision Processes. AAAI/IAAI 1997: 734-739
1 Milos Hauskrecht: Dynamic Decision Making in Stochastic Partially Observable Domains: Ischemic Heart Disease Example. AIME 1997: 296-299

Coauthor Index

1Ahmed Amer [21]
2William L. Bigbee [23]
3Craig Boutilier [3] [4]
4José Carlos Brustoloni (Jose Carlos Brustoloni) [21]
5Panos K. Chrysanthis [21]
6Louise Comfort [21]
7Roger S. Day [14]
8Thomas Dean [3] [4]
9Hamish S. F. Fraser [7]
10Carlos Guestrin [13] [19]
11Leslie Pack Kaelbling [3] [4]
12Kee-Eung Kim [4]
13Branislav Kveton [12] [13] [15] [17] [19] [20] [22] [26]
14Alexandros Labrinidis [21]
15Xinghua Lu [14]
16James Lyons-Weiler [23]
17David Malehorn [23]
18Rami G. Melhem [21]
19Nicolas Meuleau [3] [4]
20Daniel Mossé [21]
21Luis E. Ortiz [8] [9]
22Gopal Pandurangan [5]
23Richard Pelikan [23]
24Leonid Peshkin [4]
25Kirk Pruhs [21]
26Tomás Singliar [11] [16] [18] [24] [25]
27Ioannis Tsochantaridis [8] [9]
28Eli Upfal [5] [8] [9] [10]
29Michal Valko [28]
30Shuguang Wang [27]

Colors in the list of coauthors

Copyright © Tue Nov 3 08:52:44 2009 by Michael Ley (ley@uni-trier.de)