Sciweavers

2780 search results - page 45 / 556
» Learning to Order Things
Sort
View
ICDE
2008
IEEE
137views Database» more  ICDE 2008»
15 years 11 months ago
Stop Chasing Trends: Discovering High Order Models in Evolving Data
Abstract-- Many applications are driven by evolving data -patterns in web traffic, program execution traces, network event logs, etc., are often non-stationary. Building prediction...
Shixi Chen, Haixun Wang, Shuigeng Zhou, Philip S. ...

Publication
207views
15 years 8 months ago
Incorporating Higher-Order Cues in Image Colorization
We consider the colorization problem of grayscale images when some pixels, called scribbles, with initial colors are given. In this paper, we propose a new multi-layer graph model ...
Tae Hoon Kim (Seoul National University), Kyoung M...
COLT
2004
Springer
15 years 3 months ago
Replacing Limit Learners with Equally Powerful One-Shot Query Learners
Different formal learning models address different aspects of human learning. Below we compare Gold-style learning—interpreting learning as a limiting process in which the lear...
Steffen Lange, Sandra Zilles
ECTEL
2006
Springer
15 years 1 months ago
Context-Aware Workplace Learning Support: Concept, Experiences, and Remaining Challenges
Workplace learning offers the unique possibility of the immediacy of purpose and real-world context. In order to leverage on this, we have developed a context-aware method to suppo...
Andreas Schmidt, Simone Braun
ADCM
2010
59views more  ADCM 2010»
14 years 9 months ago
Sampling inequalities for infinitely smooth functions, with applications to interpolation and machine learning
Sampling inequalities give a precise formulation of the fact that a differentiable function cannot attain large values, if its derivatives are bounded and if it is small on a suff...
Christian Rieger, Barbara Zwicknagl