 | 2009 |
|---|
| 8 |       | Rameswar Debnath,
Masakazu Muramatsu,
Haruhisa Takahashi:
Implementation Issues of Second-Order Cone Programming Approaches for Support Vector Machine Learning Problems.
IEICE Transactions 92-A(4): 1209-1222 (2009) |
| 2008 |
|---|
| 7 | | Hayato Waki,
Sunyoung Kim,
Masakazu Kojima,
Masakazu Muramatsu,
Hiroshi Sugimoto:
Algorithm 883: SparsePOP---A Sparse Semidefinite Programming Relaxation of Polynomial Optimization Problems.
ACM Trans. Math. Softw. 35(2): (2008) |
| 2007 |
|---|
| 6 | | Masakazu Kojima,
Masakazu Muramatsu:
An Extension of Sums of Squares Relaxations to Polynomial Optimization Problems Over Symmetric Cones.
Math. Program. 110(2): 315-336 (2007) |
| 2005 |
|---|
| 5 | | Masakazu Muramatsu:
A Unified Class of Directly Solvable Semidefinite Programming Problems.
Annals OR 133(1-4): 85-97 (2005) |
| 4 | | Rameswar Debnath,
Masakazu Muramatsu,
Haruhisa Takahashi:
An Efficient Support Vector Machine Learning Method with Second-Order Cone Programming for Large-Scale Problems.
Appl. Intell. 23(3): 219-239 (2005) |
| 2004 |
|---|
| 3 |  | Rameswar Debnath,
Masakazu Muramatsu,
Haruhisa Takahashi:
A New Model for Large Margin Classifiers by Second Order Cone Programming.
IC-AI 2004: 877-882 |
| 1998 |
|---|
| 2 | | Masakazu Muramatsu:
Affine scaling algorithm fails for semidefinite programming.
Math. Program. 83: 393-406 (1998) |
| 1996 |
|---|
| 1 | | Masakazu Muramatsu,
Takashi Tsuchiya:
Convergence analysis of the projective scaling algorithm based on a long-step homogeneous affine scaling algorithm.
Math. Program. 72: 291-305 (1996) |
