4578 search results - page 326 / 916 » Learning from Multi-source Data |
122
Voted
ICDM
2008
IEEE
15 years 10 months ago
2008
IEEE
Selecting promising queries is the key to effective active learning. In this paper, we investigate selection techniques for the task of learning an equivalence relation where the ...
133
Voted
CIARP
2006
Springer
15 years 5 months ago
2006
Springer
The Neural Gas (NG) is a Vector Quantization technique where a set of prototypes self organize to represent the topology structure of the data. The learning algorithm of the Neural...
143
Voted
NN
2008
Springer
15 years 3 months ago
2008
Springer
Learning data representations is a fundamental challenge in modeling neural processes and plays an important role in applications such as object recognition. In multi-stage Optima...
145
Voted
NIPS
2007
15 years 5 months ago
2007
Unsupervised learning algorithms aim to discover the structure hidden in the data, and to learn representations that are more suitable as input to a supervised machine than the ra...
157
Voted
ICML
2001
IEEE
16 years 4 months ago
2001
IEEE
Clustering is traditionally viewed as an unsupervised method for data analysis. However, in some cases information about the problem domain is available in addition to the data in...