ICDM
2009
IEEE
13 years 10 months ago
2009
IEEE
Multi-task learning refers to the learning problem of performing inference by jointly considering multiple related tasks. There have already been many research efforts on supervise...
RAS
2010
13 years 10 months ago
2010
This paper presents a model of ocular-motor development, inspired by ideas and data from developmental psychology. The learning problem concerns the growth of the transform betwee...
PAMI
2000
14 years 6 days ago
2000
JMLR
2008
14 years 12 days ago
2008
We show that the relevant information of a supervised learning problem is contained up to negligible error in a finite number of leading kernel PCA components if the kernel matche...
ICML
2010
IEEE
14 years 1 months ago
2010
IEEE
This paper studies the problem of learning from ambiguous supervision, focusing on the task of learning semantic correspondences. A learning problem is said to be ambiguously supe...
ICML
2010
IEEE
14 years 1 months ago
2010
IEEE
A learning problem that has only recently gained attention in the machine learning community is that of learning a classifier from group probabilities. It is a learning task that ...
NIPS
2001
14 years 1 months ago
2001
We present a new approach to the supervised learning of lateral interactions for the competitive layer model (CLM) dynamic feature binding architecture. The method is based on con...
NIPS
2008
14 years 1 months ago
2008
We use graphical models and structure learning to explore how people learn policies in sequential decision making tasks. Studies of sequential decision-making in humans frequently...
NIPS
2008
14 years 1 months ago
2008
This paper discusses non-parametric regression between Riemannian manifolds. This learning problem arises frequently in many application areas ranging from signal processing, comp...
GOSLER
1995
14 years 4 months ago
1995
In designing learning algorithms it seems quite reasonable to construct them in such a way that all data the algorithm already has obtained are correctly and completely reflected...