29 search results - page 2 / 6 » On Nonparametric Predictive Inference and Objective Bayesian... |
NECO
2008
13 years 10 months ago
2008
One of the central problems in cognitive science is determining the mental representations that underlie human inferences. Solutions to this problem often rely on the analysis of ...
CACM
2011
13 years 5 months ago
2011
We propose an unbounded-depth, hierarchical, Bayesian nonparametric model for discrete sequence data. This model can be estimated from a single training sequence, yet shares stati...
AAAI
2010
14 years 9 days ago
2010
Matrix factorization is a fundamental technique in machine learning that is applicable to collaborative filtering, information retrieval and many other areas. In collaborative fil...
ICRA
2007
IEEE
14 years 5 months ago
2007
IEEE
Abstract— Imitation learning, or programming by demonstration (PbD), holds the promise of allowing robots to acquire skills from humans with domain-specific knowledge, who nonet...
ICIP
2008
IEEE
14 years 5 months ago
2008
IEEE
This paper presents an algorithm designed to compute the perceived interest of objects in images. We measured likelihood functions via a psychophysical experiment in which subject...