2006 |
29 | EE | S. Polak,
Yair Barniv,
Yoram Baram:
Head motion anticipation for virtual-environment applications using kinematics and EMG energy.
IEEE Transactions on Systems, Man, and Cybernetics, Part A 36(3): 569-576 (2006) |
2005 |
28 | EE | Yoram Baram:
Learning by Kernel Polarization.
Neural Computation 17(6): 1264-1275 (2005) |
2004 |
27 | EE | Yoram Baram,
Ran El-Yaniv,
Kobi Luz:
Online Choice of Active Learning Algorithms.
Journal of Machine Learning Research 5: 255-291 (2004) |
2003 |
26 | | Yoram Baram,
Ran El-Yaniv,
Kobi Luz:
Online Choice of Active Learning Algorithms.
ICML 2003: 19-26 |
2002 |
25 | | Yoram Baram,
Judith Aharon-Peretz,
Yahalomit Simionovici,
Lior Ron:
Walking on Virtual Tiles.
Neural Processing Letters 16(3): 227-233 (2002) |
2001 |
24 | EE | Mark Zlochin,
Yoram Baram:
The Bias-Variance Dilemma of the Monte Carlo Method.
ICANN 2001: 141-147 |
23 | | Gregory Shakhnarovich,
Ran El-Yaniv,
Yoram Baram:
Smoothed Bootstrap and Statistical Data Cloning for Classifier Evaluation.
ICML 2001: 521-528 |
22 | EE | Yoram Baram:
Random Embedding Machines for Pattern Recognition.
Neural Computation 13(11): 2533-2548 (2001) |
21 | EE | Mark Zlochin,
Yoram Baram:
Manifold Stochastic Dynamics for Bayesian Learning.
Neural Computation 13(11): 2549-2572 (2001) |
2000 |
20 | EE | Yoram Baram:
Random Embedding Machines for Low-Complexity Pattern Recognition.
ICPR 2000: 2748-2754 |
19 | EE | Yoram Baram:
A geometric approach to consistent classification.
Pattern Recognition 33(2): 177-184 (2000) |
1999 |
18 | EE | Mark Zlochin,
Yoram Baram:
Manifold Stochastic Dynamics for Bayesian Learning.
NIPS 1999: 694-702 |
17 | | Yoram Baram:
Walking on Tiles.
Neural Processing Letters 10(2): 81-87 (1999) |
16 | EE | Yoram Baram:
Bayesian classification by iterated weighting.
Neurocomputing 25(1-3): 73-79 (1999) |
1998 |
15 | EE | Yoram Baram:
Partial Classification Can Be Beneficial Even for Ideal Separation.
IEEE Trans. Pattern Anal. Mach. Intell. 20(10): 1117 (1998) |
14 | EE | Yoram Baram:
Partial Classification: The Benefit of Deferred Decision.
IEEE Trans. Pattern Anal. Mach. Intell. 20(8): 769-776 (1998) |
13 | | Yoram Baram:
Classification by Density Intersection.
Neural Processing Letters 8(1): 1-8 (1998) |
12 | | Natan Peterfreund,
Yoram Baram:
Trajectory Control of Convergent Networks.
Neural Processing Letters 8(2): 99-106 (1998) |
1997 |
11 | EE | Yoram Baram,
Yair Barniv,
Tarun Soni:
Detecting collision from gray-level expansion by a neural network.
Neurocomputing 16(1): 77-84 (1997) |
1996 |
10 | EE | Yoram Baram:
Consistent Classification, Firm and Soft.
NIPS 1996: 326-332 |
9 | EE | Yoram Baram:
Classification by balanced binary representation.
Neurocomputing 13(2-4): 347-357 (1996) |
1994 |
8 | EE | Dario L. Ringach,
Yoram Baram:
A Diffusion Mechanism for Obstacle Detection from Size-Change Information.
IEEE Trans. Pattern Anal. Mach. Intell. 16(1): 76-80 (1994) |
7 | | Yoram Baram:
Corrective memory by a symmetric sparsely encoded network.
IEEE Transactions on Information Theory 40(2): 429-438 (1994) |
1992 |
6 | | Yoram Baram,
Dror Salée:
Lower bounds on the capacities of binary and ternary networks storing sparse random vectors.
IEEE Transactions on Information Theory 38(6): 1633-1647 (1992) |
1991 |
5 | | Yoram Baram:
On the capacity of ternary Hebbian networks.
IEEE Transactions on Information Theory 37(3): 528-534 (1991) |
4 | | Yoram Baram:
Encoding unique global minima in nested neural networks.
IEEE Transactions on Information Theory 37(4): 1158- (1991) |
1987 |
3 | | Yoram Baram:
A lower bound on the mean square error of reduced-order estimators for nonlinear processes.
IEEE Transactions on Information Theory 33(6): 942- (1987) |
1982 |
2 | | Yoram Baram:
Identifying nonstationary measurement noise in linear systems.
IEEE Transactions on Information Theory 28(1): 122- (1982) |
1980 |
1 | | Yoram Baram:
Decomposition and Convergence of Likelihood Ratios
Information and Control 45(2): 170-177 (1980) |