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KDD
2009
ACM
262views Data Mining» more  KDD 2009»
14 years 9 months ago
Sentiment analysis of blogs by combining lexical knowledge with text classification
The explosion of user-generated content on the Web has led to new opportunities and significant challenges for companies, that are increasingly concerned about monitoring the disc...
Prem Melville, Wojciech Gryc, Richard D. Lawrence
AUSAI
2003
Springer
14 years 9 days ago
On Why Discretization Works for Naive-Bayes Classifiers
We investigate why discretization is effective in naive-Bayes learning. We prove a theorem that identifies particular conditions under which discretization will result in naiveBay...
Ying Yang, Geoffrey I. Webb
HOTOS
2003
IEEE
14 years 1 months ago
Why Events Are a Bad Idea (for High-Concurrency Servers)
Event-based programming has been highly touted in recent years as the best way to write highly concurrent applications. Having worked on several of these systems, we now believe t...
J. Robert von Behren, Jeremy Condit, Eric A. Brewe...
AGILEDC
2003
IEEE
14 years 2 months ago
XP Culture: Why the twelve practices both are and are not the most significant thing
XP emphasises underlying values as well as the more visible twelve practices. In this paper we explore the relationship between practices and values from two perspectives: empiric...
Hugh Robinson, Helen Sharp
NIPS
2000
13 years 10 months ago
A PAC-Bayesian Margin Bound for Linear Classifiers: Why SVMs work
We investigate how the normalization of vectors influences the result of SVMs. 1 Normalization For the theoretical background, please refer to [1]. 2 Experiments We empirically co...
Ralf Herbrich, Thore Graepel