801 search results - page 73 / 161 » The Inefficiency of Batch Training for Large Training Sets |
EMNLP
2007
13 years 10 months ago
2007
This paper compares a deep and a shallow processing approach to the problem of classifying a sentence as grammatically wellformed or ill-formed. The deep processing approach uses ...
JMLR
2008
13 years 9 months ago
2008
Feature ranking is a fundamental machine learning task with various applications, including feature selection and decision tree learning. We describe and analyze a new feature ran...
PAMI
2008
13 years 9 months ago
2008
We construct an image segmentation scheme that combines top-down (TD) with bottom-up (BU) processing. In the proposed scheme, segmentation and recognition are intertwined rather th...
NECO
2000
13 years 8 months ago
2000
The Bayesian committee machine (BCM) is a novel approach to combining estimators which were trained on different data sets. Although the BCM can be applied to the combination of a...
KDD
2000
ACM
14 years 16 days ago
2000
ACM
In this paper we introduce the Generalized Bayesian Committee Machine (GBCM) for applications with large data sets. In particular, the GBCM can be used in the context of kernel ba...