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Yoram Baram: [Publications] [Author Rank by year] [Co-authors] [Prefers] [Cites] [Cited by]

Publications of Author

  1. Mark Zlochin, Yoram Baram
    The Bias-Variance Dilemma of the Monte Carlo Method. [Citation Graph (0, 0)][DBLP]
    ICANN, 2001, pp:141-147 [Conf]
  2. Yoram Baram, Ran El-Yaniv, Kobi Luz
    Online Choice of Active Learning Algorithms. [Citation Graph (0, 0)][DBLP]
    ICML, 2003, pp:19-26 [Conf]
  3. Gregory Shakhnarovich, Ran El-Yaniv, Yoram Baram
    Smoothed Bootstrap and Statistical Data Cloning for Classifier Evaluation. [Citation Graph (0, 0)][DBLP]
    ICML, 2001, pp:521-528 [Conf]
  4. Yoram Baram
    Random Embedding Machines for Low-Complexity Pattern Recognition. [Citation Graph (0, 0)][DBLP]
    ICPR, 2000, pp:2748-2754 [Conf]
  5. Yoram Baram
    Consistent Classification, Firm and Soft. [Citation Graph (0, 0)][DBLP]
    NIPS, 1996, pp:326-332 [Conf]
  6. Mark Zlochin, Yoram Baram
    Manifold Stochastic Dynamics for Bayesian Learning. [Citation Graph (0, 0)][DBLP]
    NIPS, 1999, pp:694-702 [Conf]
  7. Yoram Baram
    Decomposition and Convergence of Likelihood Ratios [Citation Graph (0, 0)][DBLP]
    Information and Control, 1980, v:45, n:2, pp:170-177 [Journal]
  8. Yoram Baram
    Classification by balanced binary representation. [Citation Graph (0, 0)][DBLP]
    Neurocomputing, 1996, v:13, n:2-4, pp:347-357 [Journal]
  9. Yoram Baram
    Bayesian classification by iterated weighting. [Citation Graph (0, 0)][DBLP]
    Neurocomputing, 1999, v:25, n:1-3, pp:73-79 [Journal]
  10. Yoram Baram, Yair Barniv, Tarun Soni
    Detecting collision from gray-level expansion by a neural network. [Citation Graph (0, 0)][DBLP]
    Neurocomputing, 1997, v:16, n:1, pp:77-84 [Journal]
  11. Yoram Baram, Ran El-Yaniv, Kobi Luz
    Online Choice of Active Learning Algorithms. [Citation Graph (0, 0)][DBLP]
    Journal of Machine Learning Research, 2004, v:5, n:, pp:255-291 [Journal]
  12. Yoram Baram
    Random Embedding Machines for Pattern Recognition. [Citation Graph (0, 0)][DBLP]
    Neural Computation, 2001, v:13, n:11, pp:2533-2548 [Journal]
  13. Yoram Baram
    Learning by Kernel Polarization. [Citation Graph (0, 0)][DBLP]
    Neural Computation, 2005, v:17, n:6, pp:1264-1275 [Journal]
  14. Mark Zlochin, Yoram Baram
    Manifold Stochastic Dynamics for Bayesian Learning. [Citation Graph (0, 0)][DBLP]
    Neural Computation, 2001, v:13, n:11, pp:2549-2572 [Journal]
  15. Yoram Baram
    Classification by Density Intersection. [Citation Graph (0, 0)][DBLP]
    Neural Processing Letters, 1998, v:8, n:1, pp:1-8 [Journal]
  16. Yoram Baram
    Walking on Tiles. [Citation Graph (0, 0)][DBLP]
    Neural Processing Letters, 1999, v:10, n:2, pp:81-87 [Journal]
  17. Yoram Baram, Judith Aharon-Peretz, Yahalomit Simionovici, Lior Ron
    Walking on Virtual Tiles. [Citation Graph (0, 0)][DBLP]
    Neural Processing Letters, 2002, v:16, n:3, pp:227-233 [Journal]
  18. Natan Peterfreund, Yoram Baram
    Trajectory Control of Convergent Networks. [Citation Graph (0, 0)][DBLP]
    Neural Processing Letters, 1998, v:8, n:2, pp:99-106 [Journal]
  19. Yoram Baram
    Partial Classification: The Benefit of Deferred Decision. [Citation Graph (0, 0)][DBLP]
    IEEE Trans. Pattern Anal. Mach. Intell., 1998, v:20, n:8, pp:769-776 [Journal]
  20. Yoram Baram
    Partial Classification Can Be Beneficial Even for Ideal Separation. [Citation Graph (0, 0)][DBLP]
    IEEE Trans. Pattern Anal. Mach. Intell., 1998, v:20, n:10, pp:1117- [Journal]
  21. Dario L. Ringach, Yoram Baram
    A Diffusion Mechanism for Obstacle Detection from Size-Change Information. [Citation Graph (0, 0)][DBLP]
    IEEE Trans. Pattern Anal. Mach. Intell., 1994, v:16, n:1, pp:76-80 [Journal]
  22. Yoram Baram
    A geometric approach to consistent classification. [Citation Graph (0, 0)][DBLP]
    Pattern Recognition, 2000, v:33, n:2, pp:177-184 [Journal]
  23. Yoram Baram
    Identifying nonstationary measurement noise in linear systems. [Citation Graph (0, 0)][DBLP]
    IEEE Transactions on Information Theory, 1982, v:28, n:1, pp:122-0 [Journal]
  24. Yoram Baram
    A lower bound on the mean square error of reduced-order estimators for nonlinear processes. [Citation Graph (0, 0)][DBLP]
    IEEE Transactions on Information Theory, 1987, v:33, n:6, pp:942-0 [Journal]
  25. Yoram Baram
    On the capacity of ternary Hebbian networks. [Citation Graph (0, 0)][DBLP]
    IEEE Transactions on Information Theory, 1991, v:37, n:3, pp:528-534 [Journal]
  26. Yoram Baram
    Encoding unique global minima in nested neural networks. [Citation Graph (0, 0)][DBLP]
    IEEE Transactions on Information Theory, 1991, v:37, n:4, pp:1158-0 [Journal]
  27. Yoram Baram
    Corrective memory by a symmetric sparsely encoded network. [Citation Graph (0, 0)][DBLP]
    IEEE Transactions on Information Theory, 1994, v:40, n:2, pp:429-438 [Journal]
  28. Yoram Baram, Dror Salée
    Lower bounds on the capacities of binary and ternary networks storing sparse random vectors. [Citation Graph (0, 0)][DBLP]
    IEEE Transactions on Information Theory, 1992, v:38, n:6, pp:1633-1647 [Journal]
  29. S. Polak, Yair Barniv, Yoram Baram
    Head motion anticipation for virtual-environment applications using kinematics and EMG energy. [Citation Graph (0, 0)][DBLP]
    IEEE Transactions on Systems, Man, and Cybernetics, Part A, 2006, v:36, n:3, pp:569-576 [Journal]

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