2884 search results - page 280 / 577 » Evaluating learning algorithms and classifiers |
109
click to vote
JMLR
2006
15 years 12 days ago
2006
A selective sampling algorithm is a learning algorithm for classification that, based on the past observed data, decides whether to ask the label of each new instance to be classi...
107
click to vote
GECCO
2006
Springer
15 years 4 months ago
2006
Springer
In reinforcement learning, an agent interacting with its environment strives to learn a policy that specifies, for each state it may encounter, what action to take. Evolutionary c...
121
Voted
CIKM
2008
Springer
15 years 2 months ago
2008
Springer
Ontology learning is an important task in Artificial Intelligence, Semantic Web and Text Mining. This paper presents a novel framework for, and solutions to, three practical probl...
100
Voted
ML
1998
ACM
15 years 3 days ago
1998
ACM
We use simulated soccer to study multiagent learning. Each team's players (agents) share action set and policy, but may behave di erently due to position-dependent inputs. All...
102
click to vote
ICML
2007
IEEE
16 years 1 months ago
2007
IEEE
Many kernel learning methods have to assume parametric forms for the target kernel functions, which significantly limits the capability of kernels in fitting diverse patterns. Som...