2665 search results - page 238 / 533 » Bundle Methods for Machine Learning |
116
Voted
ICML
2008
IEEE
16 years 3 months ago
2008
IEEE
Tsochantaridis et al. (2005) proposed two formulations for maximum margin training of structured spaces: margin scaling and slack scaling. While margin scaling has been extensivel...
145
Voted
ICML
2001
IEEE
16 years 3 months ago
2001
IEEE
Direct policy search is a practical way to solve reinforcement learning problems involving continuous state and action spaces. The goal becomes finding policy parameters that maxi...
107
Voted
ICML
2008
IEEE
16 years 3 months ago
2008
IEEE
This paper aims to conduct a study on the listwise approach to learning to rank. The listwise approach learns a ranking function by taking individual lists as instances and minimi...
108
Voted
ICML
2004
IEEE
16 years 3 months ago
2004
IEEE
Inductive learning of first-order theory based on examples has serious bottleneck in the enormous hypothesis search space needed, making existing learning approaches perform poorl...
110
Voted
ICML
2008
IEEE
16 years 3 months ago
2008
IEEE
Inspired by co-training, many multi-view semi-supervised kernel methods implement the following idea: find a function in each of multiple Reproducing Kernel Hilbert Spaces (RKHSs)...