3378 search results - page 60 / 676 » Learning in Friedberg Numberings |
ALT
1999
Springer
15 years 4 months ago
1999
Springer
We introduce a new model for learning in the presence of noise, which we call the Nasty Noise model. This model generalizes previously considered models of learning with noise. Th...
90
Voted
ICML
2008
IEEE
16 years 1 months ago
2008
IEEE
We introduce a boosting framework to solve a classification problem with added manifold and ambient regularization costs. It allows for a natural extension of boosting into both s...
117
click to vote
GECCO
2009
Springer
15 years 5 months ago
2009
Springer
In this paper, we evaluate the performance of ten well-known evolutionary and non-evolutionary rule learning algorithms. The comparative study is performed on a real-world classiï...
105
Voted
CIVR
2006
Springer
15 years 4 months ago
2006
Springer
Learning a good ranking function plays a key role for many applications including the task of (multimedia) information retrieval. While there are a few rank learning methods availa...
AAAI
2008
2008
Examining Difficulties Software Developers Encounter in the Adoption of Statistical Machine Learning
15 years 2 months ago
Statistical machine learning continues to show promise as a tool for addressing complex problems in a variety of domains. An increasing number of developers are therefore looking ...