2190 search results - page 195 / 438 » Learning with the Set Covering Machine |
101
Voted
ICML
2009
IEEE
16 years 1 months ago
2009
IEEE
This paper investigates a new learning formulation called structured sparsity, which is a naturalextensionofthestandardsparsityconceptinstatisticallearningandcompressivesensing. B...
99
Voted
ICML
2007
IEEE
16 years 1 months ago
2007
IEEE
In this paper, we present an information-theoretic approach to learning a Mahalanobis distance function. We formulate the problem as that of minimizing the differential relative e...
116
Voted
ICML
2007
IEEE
16 years 1 months ago
2007
IEEE
Conditional random fields (CRFs) are graphical models for modeling the probability of labels given the observations. They have traditionally been trained with using a set of obser...
103
Voted
ICML
2003
IEEE
16 years 1 months ago
2003
IEEE
Learning to fly an aircraft is a complex task that requires the development of control skills and goal achievement strategies. This paper presents a behavioural cloning system tha...
126
Voted
ACML
2009
Springer
15 years 7 months ago
2009
Springer
Real-world face recognition systems are sometimes confronted with degraded face images, e.g., low-resolution, blurred, and noisy ones. Traditional two-step methods have limited per...