363 search results - page 10 / 73 » GraphLab: A New Framework for Parallel Machine Learning |
NEUROSCIENCE
2001
Springer
13 years 12 months ago
2001
Springer
We propose a theoretical framework for specification and analysis of a class of learning problems that arise in open-ended environments that contain multiple, distributed, dynamic...
IJPP
2011
12 years 11 months ago
2011
Tuning compiler optimizations for rapidly evolving hardware makes porting and extending an optimizing compiler for each new platform extremely challenging. Iterative optimization i...
ICML
2007
IEEE
14 years 8 months ago
2007
IEEE
This paper proposes a new map building framework for mobile robot named Localization-Free Mapping by Dimensionality Reduction (LFMDR). In this framework, the robot map building is...
JMLR
2002
13 years 7 months ago
2002
We extend the VC theory of statistical learning to data dependent spaces of classifiers. This theory can be viewed as a decomposition of classifier design into two components; the...
GPEM
2002
13 years 7 months ago
2002
In this paper we use genetic programming for changing the representation of the input data for machine learners. In particular, the topic of interest here is feature construction i...