2980 search results - page 354 / 596 » Learning better together |
168
click to vote
ICML
2005
IEEE
16 years 7 months ago
2005
IEEE
Recently, several manifold learning algorithms have been proposed, such as ISOMAP (Tenenbaum et al., 2000), Locally Linear Embedding (Roweis & Saul, 2000), Laplacian Eigenmap ...
160
click to vote
ICML
2004
IEEE
16 years 7 months ago
2004
IEEE
We propose to study links between three important classification algorithms: Perceptrons, Multi-Layer Perceptrons (MLPs) and Support Vector Machines (SVMs). We first study ways to...
171
click to vote
KDD
2001
ACM
16 years 7 months ago
2001
ACM
In this paper, we propose a general framework for distributed boosting intended for efficient integrating specialized classifiers learned over very large and distributed homogeneo...
190
click to vote
CIKM
2009
Springer
16 years 1 months ago
2009
Springer
Traditional boosting algorithms for the ranking problems usually employ the pairwise approach and convert the document rating preference into a binary-value label, like RankBoost....
158
click to vote
ECTEL
2009
Springer
16 years 1 months ago
2009
Springer
Reusable adaptation specifications for adaptive behaviour has come to the forefront of adaptive research recently, with EU projects such as GRAPPLE1, and PhD research efforts on de...