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» The Feature Importance Ranking Measure
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PRL
1998
132views more  PRL 1998»
14 years 9 months ago
Unsupervised feature selection using a neuro-fuzzy approach
A neuro-fuzzy methodology is described which involves connectionist minimization of a fuzzy feature evaluation index with unsupervised training. The concept of a ¯exible membersh...
Jayanta Basak, Rajat K. De, Sankar K. Pal
97
Voted
LREC
2010
164views Education» more  LREC 2010»
14 years 11 months ago
Semantic Feature Engineering for Enhancing Disambiguation Performance in Deep Linguistic Processing
The task of parse disambiguation has gained in importance over the last decade as the complexity of grammars used in deep linguistic processing has been increasing. In this paper ...
Danielle Ben-Gera, Yi Zhang 0003, Valia Kordoni
70
Voted
WWW
2007
ACM
15 years 10 months ago
Predicting clicks: estimating the click-through rate for new ads
Search engine advertising has become a significant element of the Web browsing experience. Choosing the right ads for the query and the order in which they are displayed greatly a...
Matthew Richardson, Ewa Dominowska, Robert Ragno
WWW
2010
ACM
15 years 4 months ago
Identifying spam link generators for monitoring emerging web spam
In this paper, we address the question of how we can identify hosts that will generate links to web spam. Detecting such spam link generators is important because almost all new s...
Young-joo Chung, Masashi Toyoda, Masaru Kitsuregaw...
EMNLP
2009
14 years 7 months ago
Clustering to Find Exemplar Terms for Keyphrase Extraction
Keyphrases are widely used as a brief summary of documents. Since manual assignment is time-consuming, various unsupervised ranking methods based on importance scores are proposed...
Zhiyuan Liu, Peng Li, Yabin Zheng, Maosong Sun