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2000 – 2009
- 2008
[i4]Gusztáv Morvai, Sidney Yakowitz, Paul H. Algoet:
Weakly Convergent Nonparametric Forecasting of Stationary Time Series. CoRR abs/0805.3082 (2008)- 2007
- [i3]Gusztáv Morvai, Sidney Yakowitz, László Györfi:
Nonparametric inference for ergodic, stationary time series. CoRR abs/0711.0367 (2007) - [i2]László Györfi, Gusztáv Morvai, Sidney Yakowitz:
Limits to consistent on-line forecasting for ergodic time series. CoRR abs/0712.2430 (2007) - [i1]Sidney Yakowitz, László Györfi, John C. Kieffer, Gusztáv Morvai:
Strongly consistent nonparametric forecasting and regression for stationary ergodic sequences. CoRR abs/0712.2592 (2007) - 2002
- [j19]Harro Walk, Sidney Yakowitz:
Iterative nonparametric estimation of a log-optimal portfolio selection function. IEEE Trans. Inf. Theory 48(1): 324-333 (2002) - 2000
- [j18]Sidney Yakowitz, Pierre L'Ecuyer
, Felisa J. Vázquez-Abad:
Global Stochastic Optimization with Low-Dispersion Point Sets. Oper. Res. 48(6): 939-950 (2000)
1990 – 1999
- 1998
- [j17]László Györfi, Gusztáv Morvai, Sidney Yakowitz:
Limits to Consistent On-Line Forecasting for Ergodic Time Series. IEEE Trans. Inf. Theory 44(2): 886-892 (1998) - [c3]John C. Kieffer, En-Hui Yang, Trevor Park, Sidney Yakowitz:
Complexity of Preprocessor in MPM Data Compression System. Data Compression Conference 1998: 554 - [c2]John C. Kieffer, T. H. Park, Y. Xu, Sidney Yakowitz:
Progressive Lossless Image Coding via Self-Referential Partitions. ICIP (1) 1998: 498-502 - 1997
- [j16]Joe Gani, M. Blount, Sidney Yakowitz:
The Spread and Quarantine of HIV Infection in a Prison System. SIAM J. Appl. Math. 57(6): 1510-1530 (1997) - [j15]Gusztáv Morvai, Sidney Yakowitz, Paul H. Algoet:
Weakly convergent nonparametric forecasting of stationary time series. IEEE Trans. Inf. Theory 43(2): 483-498 (1997) - 1996
- [j14]T. Jayawardena, Sidney Yakowitz:
Methodology for Stochastic Graph Completion-Time Problems. INFORMS J. Comput. 8(4): 331-343 (1996) - 1995
- [j13]Sidney Yakowitz, J. Mai:
Methods and theory for off-line machine learning. IEEE Trans. Autom. Control. 40(1): 161-165 (1995) - [j12]Tze-Leung Lai, Sidney Yakowitz:
Machine learning and nonparametric bandit theory. IEEE Trans. Autom. Control. 40(7): 1199-1209 (1995) - 1994
- [j11]Sidney Yakowitz:
Time Series Analysis of Higher Order Crossings (B. Kedem). SIAM Rev. 36(4): 680-682 (1994) - [j10]Ben Kedem, Sid Yakowitz:
Practical aspects of a fast algorithm for frequency detection. IEEE Trans. Commun. 42(9): 2760-2767 (1994) - 1993
- [j9]Sidney Yakowitz:
Asymptotic theory for a fast frequency detector. IEEE Trans. Inf. Theory 39(3): 1031-1036 (1993) - 1992
- [j8]Sidney J. Yakowitz, R. Hayes, Joe Gani:
Automatic Learning for Dynamic Markov Fields with Application to Epidemiology. Oper. Res. 40(5): 867-876 (1992) - [c1]Sidney Yakowitz:
Automatic Learning: Theorems for Concurrent Simulation and Optimization. WSC 1992: 487-493 - 1991
- [j7]Sidney Yakowitz:
Some contributions to a frequency location method due to He and Kedem. IEEE Trans. Inf. Theory 37(4): 1177-1182 (1991) - 1990
- [j6]Sidney Yakowitz, Erzsebet Lugosi:
Random Search in the Presence of Noise, with Application to Machine Learning. SIAM J. Sci. Comput. 11(4): 702-712 (1990)
1980 – 1989
- 1987
- [j5]S. Sen, Sidney J. Yakowitz:
A quasi-newton differential dynamic programming algorithm for discrete-time optimal control. Autom. 23(6): 749-752 (1987) - 1983
- [j4]Sidney J. Yakowitz:
Convergence rate analysis of the state increment dynamic programming method. Autom. 19(1): 53-60 (1983) - 1981
- [j3]Daniel M. Murray, Sidney J. Yakowitz:
The application of optimal control methodology to nonlinear programming problems. Math. Program. 21(1): 331-347 (1981)
1970 – 1979
- 1976
- [j2]Sidney Yakowitz, Theodore L. Williams, G. Williams:
Surveillance of several Markov targets. IEEE Trans. Inf. Theory 22(6): 716-724 (1976) - 1970
- [j1]Sidney J. Yakowitz:
Unsupervised learning and the identification of finite mixtures. IEEE Trans. Inf. Theory 16(3): 330-338 (1970)
Coauthor Index
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