98 search results - page 2 / 20 » Gaussian Process Learning from Order Relationships Using Exp... |
EMNLP
2009
13 years 3 months ago
2009
Many statistical translation models can be regarded as weighted logical deduction. Under this paradigm, we use weights from the expectation semiring (Eisner, 2002), to compute fir...
WWW
2011
ACM
13 years 6 days ago
2011
ACM
In this paper, we study the problem of transfer learning from text to images in the context of network data in which link based bridges are available to transfer the knowledge bet...
PKDD
2010
Springer
13 years 3 months ago
2010
Springer
Abstract. In preference learning, the algorithm observes pairwise relative judgments (preference) between items as training data for learning an ordering of all items. This is an i...
ESSMAC
2003
Springer
13 years 10 months ago
2003
Springer
Gaussian Process prior models, as used in Bayesian non-parametric statistical models methodology are applied to implement a nonlinear adaptive control law. The expected value of a...
ICRA
2009
IEEE
13 years 12 months ago
2009
IEEE
— In this paper, we present a novel approach to controlling a robotic system online from scratch based on the reinforcement learning principle. In contrast to other approaches, o...