Milos Hauskrecht

	2012
50		Yuriy Sverchkov, Shyam Visweswaran, Gilles Clermont, Milos Hauskrecht, Gregory F. Cooper: A multivariate probabilistic method for comparing two clinical datasets. IHI 2012: 795-800
49		Saeed Amizadeh, Hamed Valizadegan, Milos Hauskrecht: Factorized Diffusion Map Approximation. Journal of Machine Learning Research - Proceedings Track 22: 37-46 (2012)
	2011
48		Iyad Batal, Hamed Valizadegan, Gregory F. Cooper, Milos Hauskrecht: A Pattern Mining Approach for Classifying Multivariate Temporal Data. BIBM 2011: 358-365
47		Quang Nguyen, Hamed Valizadegan, Milos Hauskrecht: Learning Classification with Auxiliary Probabilistic Information. ICDM 2011: 477-486
46		Michal Valko, Branislav Kveton, Hamed Valizadegan, Gregory F. Cooper, Milos Hauskrecht: Conditional Anomaly Detection with Soft Harmonic Functions. ICDM 2011: 735-743
45		Saeed Amizadeh, Shuguang Wang, Milos Hauskrecht: An Efficient Framework for Constructing Generalized Locally-Induced Text Metrics. IJCAI 2011: 1159-1164
44		Dave Krebs, Alexander Conrad, Milos Hauskrecht, Jingtao Wang: MARBLS: a visual environment for building clinical alert rules. UIST (Adjunct Volume) 2011: 67-68
43		Milos Hauskrecht: Value-Function Approximations for Partially Observable Markov Decision Processes CoRR abs/1106.0234: (2011)
42		Carlos Guestrin, Milos Hauskrecht, Branislav Kveton: Solving Factored MDPs with Hybrid State and Action Variables CoRR abs/1110.0028: (2011)
	2010
41		Saeed Amizadeh, Milos Hauskrecht: Latent Variable Model for Learning in Pairwise Markov Networks. AAAI 2010
40		Iyad Batal, Milos Hauskrecht: Constructing classification features using minimal predictive patterns. CIKM 2010: 869-878
39		Iyad Batal, Milos Hauskrecht: A Concise Representation of Association Rules Using Minimal Predictive Rules. ECML/PKDD (1) 2010: 87-102
38		Shuguang Wang, Milos Hauskrecht: Effective query expansion with the resistance distance based term similarity metric. SIGIR 2010: 715-716
37		Richard Pelikan, Milos Hauskrecht: Efficient Peak-Labeling Algorithms for Whole-Sample Mass Spectrometry Proteomics. IEEE/ACM Trans. Comput. Biology Bioinform. 7(1): 126-137 (2010)
36		Tomás Singliar, Milos Hauskrecht: Learning to detect incidents from noisily labeled data. Machine Learning 79(3): 335-354 (2010)
	2009
35		Iyad Batal, Milos Hauskrecht: Boosting KNN text classification accuracy by using supervised term weighting schemes. CIKM 2009: 2041-2044
34		Shuguang Wang, Milos Hauskrecht: Improving Biomedical Document Retrieval by Mining Domain Knowledge. FLAIRS Conference 2009
33		Iyad Batal, Lucia Sacchi, Riccardo Bellazzi, Milos Hauskrecht: Multivariate Time Series Classification with Temporal Abstractions. FLAIRS Conference 2009
32		Iyad Batal, Milos Hauskrecht: A Supervised Time Series Feature Extraction Technique Using DCT and DWT. ICMLA 2009: 735-739
31		Shuguang Wang, Shyam Visweswaran, Milos Hauskrecht: Document Retrieval using a Probabilistic Knowledge Model. KDIR 2009: 26-33
	2008
30		Michal Valko, Milos Hauskrecht: Distance Metric Learning for Conditional Anomaly Detection. FLAIRS Conference 2008: 684-689
29		Tomás Singliar, Milos Hauskrecht: Approximation Strategies for Routing in Stochastic Dynamic Networks. ISAIM 2008
28		Shuguang Wang, Milos Hauskrecht: Improving biomedical document retrieval using domain knowledge. SIGIR 2008: 785-786
27		Branislav Kveton, Milos Hauskrecht: Partitioned Linear Programming Approximations for MDPs. UAI 2008: 341-348
	2007
26		Tomás Singliar, Milos Hauskrecht: Modeling Highway Traffic Volumes. ECML 2007: 732-739
25		Tomás Singliar, Milos Hauskrecht: Learning to Detect Adverse Traffic Events from Noisily Labeled Data. PKDD 2007: 236-247
24		Richard 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
23		Branislav Kveton, Milos Hauskrecht: Learning Basis Functions in Hybrid Domains. AAAI 2006: 1161-1166
22		Daniel 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
21		Branislav Kveton, Milos Hauskrecht: Solving Factored MDPs with Exponential-Family Transition Models. ICAPS 2006: 114-120
20		Milos Hauskrecht: Approximate Linear Programming for Solving Hybrid Factored MDPs. ISAIM 2006
19		Branislav Kveton, Milos Hauskrecht, Carlos Guestrin: Solving Factored MDPs with Hybrid State and Action Variables. J. Artif. Intell. Res. (JAIR) 27: 153-201 (2006)
18		Tomás Singliar, Milos Hauskrecht: Noisy-OR Component Analysis and its Application to Link Analysis. Journal of Machine Learning Research 7: 2189-2213 (2006)
	2005
17		Branislav 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
14		Xinghua Lu, Milos Hauskrecht, Roger S. Day: Modeling Cellular Processes with Variational Bayesian Cooperative Vector Quantizer. Pacific Symposium on Biocomputing 2004: 533-544
13		Carlos Guestrin, Milos Hauskrecht, Branislav Kveton: Solving Factored MDPs with Continuous and Discrete Variables. UAI 2004: 235-242
	2003
12		Milos 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
10		Milos 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)
6		Milos 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
3		Milos 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

1	Ahmed Amer	[22]
2	Saeed Amizadeh	[41] [45] [49]
3	Iyad Batal	[32] [33] [35] [39] [40] [48]
4	Riccardo Bellazzi	[33]
5	William L. Bigbee	[24]
6	Craig Boutilier	[3] [4]
7	José Carlos Brustoloni (Jose Carlos Brustoloni)	[22]
8	Panos K. Chrysanthis	[22]
9	Gilles Clermont	[50]
10	Louise Comfort	[22]
11	Alexander Conrad	[44]
12	Gregory F. Cooper	[46] [48] [50]
13	Roger S. Day	[14]
14	Thomas Dean	[3] [4]
15	Hamish S. F. Fraser	[7]
16	Carlos Guestrin	[13] [19] [42]
17	Leslie Pack Kaelbling	[3] [4]
18	Kee-Eung Kim	[4]
19	Dave Krebs	[44]
20	Branislav Kveton	[12] [13] [15] [17] [19] [21] [23] [27] [42] [46]
21	Alexandros Labrinidis	[22]
22	Xinghua Lu	[14]
23	James Lyons-Weiler	[24]
24	David Malehorn	[24]
25	Rami G. Melhem	[22]
26	Nicolas Meuleau	[3] [4]
27	Daniel Mossé	[22]
28	Quang Nguyen	[47]
29	Luis E. Ortiz	[8] [9]
30	Gopal Pandurangan	[5]
31	Richard Pelikan	[24] [37]
32	Leonid Peshkin	[4]
33	Kirk Pruhs	[22]
34	Lucia Sacchi	[33]
35	Tomás Singliar	[11] [16] [18] [25] [26] [29] [36]
36	Yuriy Sverchkov	[50]
37	Ioannis Tsochantaridis	[8] [9]
38	Eli Upfal	[5] [8] [9] [10]
39	Hamed Valizadegan	[46] [47] [48] [49]
40	Michal Valko	[30] [46]
41	Shyam Visweswaran	[31] [50]
42	Jingtao Wang	[44]
43	Shuguang Wang	[28] [31] [34] [38] [45]

Colors in the list of coauthors

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