6 search results - page 1 / 2 » A Boosting Algorithm for Classification of Semi-Structured T... |
EMNLP
2004
13 years 6 months ago
2004
The focus of research in text classification has expanded from simple topic identification to more challenging tasks such as opinion/modality identification. Unfortunately, the la...
NIPS
2004
13 years 6 months ago
2004
This paper presents an application of Boosting for classifying labeled graphs, general structures for modeling a number of real-world data, such as chemical compounds, natural lan...
IDA
2002
Springer
13 years 4 months ago
2002
Springer
This paper introduces a strategy for training ensemble classifiers by analysing boosting within margin theory. We present a bound on the generalisation error of ensembled classifi...
CASCON
2001
13 years 6 months ago
2001
The main problems in text classification are lack of labeled data, as well as the cost of labeling the unlabeled data. We address these problems by exploring co-training - an algo...
WWW
2005
ACM
14 years 5 months ago
2005
ACM
By far, the support vector machines (SVM) achieve the state-of-theart performance for the text classification (TC) tasks. Due to the complexity of the TC problems, it becomes a ch...