| Support vector regression machines H Drucker, CJ Burges, L Kaufman, A Smola, V Vapnik Advances in neural information processing systems 9, 1996 | 6830 | 1996 |
| A statistical model for positron emission tomography Y Vardi, LA Shepp, L Kaufman Journal of the American statistical Association 80 (389), 8-20, 1985 | 1264 | 1985 |
| An updated set of basic linear algebra subprograms (BLAS) LS Blackford, A Petitet, R Pozo, K Remington, RC Whaley, J Demmel, ... ACM Transactions on Mathematical Software 28 (2), 135-151, 2002 | 1096 | 2002 |
| Reorthogonalization and stable algorithms for updating the Gram-Schmidt 𝑄𝑅 factorization JW Daniel, WB Gragg, L Kaufman, GW Stewart Mathematics of Computation 30 (136), 772-795, 1976 | 718 | 1976 |
| Some stable methods for calculating inertia and solving symmetric linear systems JR Bunch, L Kaufman Mathematics of computation, 163-179, 1977 | 576 | 1977 |
| Implementing and accelerating the EM algorithm for positron emission tomography L Kaufman IEEE transactions on medical imaging 6 (1), 37-51, 1987 | 384 | 1987 |
| A variable projection method for solving separable nonlinear least squares problems L Kaufman BIT Numerical Mathematics 15, 49-57, 1975 | 334 | 1975 |
| Maximum likelihood, least squares, and penalized least squares for PET L Kaufman IEEE transactions on medical imaging 12 (2), 200-214, 1993 | 267 | 1993 |
| Advances in neural information processing systems H Drucker, CJC Burges, L Kaufman, AJ Smola, V Vapnik NIPS 1996 155, 1997 | 213 | 1997 |
| Solving the quadratic programming problem arising in support vector classification L Kaufman Advances in Kernel Methods-Support Vector Learning, 147-167, 1998 | 175 | 1998 |
| Decomposition of a symmetric matrix JR Bunch, L Kaufman, BN Parlett Numerische Mathematik 27 (1), 95-109, 1976 | 169 | 1976 |
| Matrix methods for queuing problems L Kaufman SIAM Journal on Scientific and Statistical Computing 4 (3), 525-552, 1983 | 139 | 1983 |
| Ëupport vector regression machines H Drucker, CJC Burges, L Kaufman, A Ëmola, V Vapnik Advances in neural information processing systems 9, 155-161, 0 | 99 | |
| A computational method for the indefinite quadratic programming problem JR Bunch, L Kaufman Linear Algebra and its Applications 34, 341-370, 1980 | 76 | 1980 |
| The LZ-algorithm to solve the generalized eigenvalue problem L Kaufman SIAM Journal on Numerical Analysis 11 (5), 997-1024, 1974 | 76 | 1974 |
| A method for separable nonlinear least squares problems with separable nonlinear equality constraints L Kaufman, V Pereyra SIAM Journal on Numerical Analysis 15 (1), 12-20, 1978 | 72 | 1978 |
| Banded eigenvalue solvers on vector machines L Kaufman ACM Transactions on Mathematical Software (TOMS) 10 (1), 73-85, 1984 | 71 | 1984 |
| Linear support vector regression machines H Drucker, C Burges, L Kaufman, A Smola, V Vapnik Advances in neural information processing systems 9 (9), 155-161, 1996 | 61 | 1996 |
| PET regularization by envelope guided conjugate gradients L Kaufman, A Neumaier IEEE Transactions on Medical Imaging 15 (3), 385-389, 1996 | 59 | 1996 |
| Squeezing the most out of eigenvalue solvers on high-performance computers JJ Dongarra, L Kaufman, S Hammarling Linear Algebra and Its Applications 77, 113-136, 1986 | 56 | 1986 |
vapnikProfessor of Columbia, Fellow of NEC Labs America, Verified email at nec-labs.com
