COLT
2005
Springer
14 years 7 months ago
2005
Springer
We consider a natural framework of learning from correlated data, in which successive examples used for learning are generated according to a random walk over the space of possibl...
COLT
2005
Springer
14 years 7 months ago
2005
Springer
COLT
2005
Springer
14 years 7 months ago
2005
Springer
COLT
2005
Springer
14 years 7 months ago
2005
Springer
The paper deals with the following problem: is returning to wrong conjectures necessary to achieve full power of algorithmic learning? Returning to wrong conjectures complements t...
COLT
2005
Springer
14 years 7 months ago
2005
Springer
Abstract. There has been growing interest in practice in using unlabeled data together with labeled data in machine learning, and a number of different approaches have been develo...
COLT
2005
Springer
14 years 7 months ago
2005
Springer
COLT
2005
Springer
14 years 7 months ago
2005
Springer
We study the problem of learning a kernel which minimizes a regularization error functional such as that used in regularization networks or support vector machines. We consider thi...
COLT
2005
Springer
14 years 7 months ago
2005
Springer
We consider the problem of learning a hypergraph using edge-detecting queries. In this model, the learner may query whether a set of vertices induces an edge of the hidden hypergr...
COLT
2005
Springer
14 years 7 months ago
2005
Springer
In recent years manifold methods have attracted a considerable amount of attention in machine learning. However most algorithms in that class may be termed “manifold-motivatedâ€...
COLT
2005
Springer
14 years 7 months ago
2005
Springer
The problem of ranking, in which the goal is to learn a real-valued ranking function that induces a ranking or ordering over an instance space, has recently gained attention in mac...