COLT
2005
Springer
13 years 10 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
13 years 10 months ago
2005
Springer
COLT
2005
Springer
13 years 10 months ago
2005
Springer
COLT
2005
Springer
13 years 10 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
13 years 10 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
13 years 10 months ago
2005
Springer
COLT
2005
Springer
13 years 10 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
13 years 10 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
13 years 10 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
13 years 10 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...