3449 search results - page 120 / 690 » A Framework for Multiple-Instance Learning |
NIPS
2004
13 years 10 months ago
2004
We present a novel method for learning with Gaussian process regression in a hierarchical Bayesian framework. In a first step, kernel matrices on a fixed set of input points are l...
AI
2007
Springer
13 years 9 months ago
2007
Springer
As suggested by the title of Shoham, Powers, and Grenager’s position paper [34], the ultimate lens through which the multi-agent learning framework should be assessed is “what...
JMLR
2006
13 years 9 months ago
2006
We introduce an algorithm that learns gradients from samples in the supervised learning framework. An error analysis is given for the convergence of the gradient estimated by the ...
JMLR
2010
13 years 4 months ago
2010
Estimating the error rates of classifiers or regression models is a fundamental task in machine learning which has thus far been studied exclusively using supervised learning tech...
ICDE
2006
IEEE
14 years 10 months ago
2006
IEEE
In this paper, we introduce a new class of data mining problems called learning from aggregate views. In contrast to the traditional problem of learning from a single table of tra...