4660 search results - page 615 / 932 » Learning from imperfect data |
119
Voted
CORR
2008
Springer
15 years 3 months ago
2008
Springer
: Our research has shown that schedules can be built mimicking a human scheduler by using a set of rules that involve domain knowledge. This chapter presents a Bayesian Optimizatio...
127
Voted
SOCIALCOM
2010
15 years 1 months ago
2010
In this work we address the problem of modeling varying time duration sequences for large-scale human routine discovery from cellphone sensor data using a multi-level approach to p...
136
Voted
TSMC
2010
14 years 10 months ago
2010
Abstract--This paper presents a dynamic predictiveoptimization framework of a nonlinear temporal process. Datamining (DM) and evolutionary strategy algorithms are integrated in the...
156
Voted
TSP
2010
14 years 10 months ago
2010
Nonparametric Bayesian methods are employed to constitute a mixture of low-rank Gaussians, for data x RN that are of high dimension N but are constrained to reside in a low-dimen...
156
Voted
CVPR
2012
IEEE
13 years 6 months ago
2012
IEEE
The need for early detection of temporal events from sequential data arises in a wide spectrum of applications ranging from human-robot interaction to video security. While tempor...