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» Making inferences with small numbers of training sets
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SSD
2007
Springer
243views Database» more  SSD 2007»
14 years 2 months ago
Continuous Medoid Queries over Moving Objects
In the k-medoid problem, given a dataset P, we are asked to choose k points in P as the medoids. The optimal medoid set minimizes the average Euclidean distance between the points ...
Stavros Papadopoulos, Dimitris Sacharidis, Kyriako...
SEMWEB
2009
Springer
14 years 3 months ago
Context and Domain Knowledge Enhanced Entity Spotting in Informal Text
This paper explores the application of restricted relationship graphs (RDF) and statistical NLP techniques to improve named entity annotation in challenging Informal English domain...
Daniel Gruhl, Meenakshi Nagarajan, Jan Pieper, Chr...
SERA
2007
Springer
14 years 2 months ago
Comparative Analysis of Neural Network Techniques Vs Statistical Methods in Capacity Planning
Capacity planning is a technique which can be used to predict the computing resource needs of an organization for the future after studying current usage patterns. This is of spec...
Nalini Vasudevan, Gowri C. Parthasarathy
ERSHOV
2006
Springer
14 years 15 days ago
On the Importance of Parameter Tuning in Text Categorization
Abstract. Text Categorization algorithms have a large number of parameters that determine their behaviour, whose effect is not easily predicted objectively or intuitively and may v...
Cornelis H. A. Koster, Jean Beney
ACL
2009
13 years 6 months ago
A Framework of Feature Selection Methods for Text Categorization
In text categorization, feature selection (FS) is a strategy that aims at making text classifiers more efficient and accurate. However, when dealing with a new task, it is still d...
Shoushan Li, Rui Xia, Chengqing Zong, Chu-Ren Huan...