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» Effective Use of the KDD Process and Data Mining for Compute...
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KDD
2001
ACM
145views Data Mining» more  KDD 2001»
14 years 9 months ago
Proximal support vector machine classifiers
Given a dataset, each element of which labeled by one of k labels, we construct by a very fast algorithm, a k-category proximal support vector machine (PSVM) classifier. Proximal s...
Glenn Fung, Olvi L. Mangasarian
KDD
2005
ACM
143views Data Mining» more  KDD 2005»
14 years 9 months ago
SVM selective sampling for ranking with application to data retrieval
Learning ranking (or preference) functions has been a major issue in the machine learning community and has produced many applications in information retrieval. SVMs (Support Vect...
Hwanjo Yu
KDD
2012
ACM
292views Data Mining» more  KDD 2012»
11 years 11 months ago
Online allocation of display ads with smooth delivery
Display ads on the Internet are often sold in bundles of thousands or millions of impressions over a particular time period, typically weeks or months. Ad serving systems that ass...
Anand Bhalgat, Jon Feldman, Vahab S. Mirrokni
KDD
2005
ACM
194views Data Mining» more  KDD 2005»
14 years 9 months ago
Web object indexing using domain knowledge
Web object is defined to represent any meaningful object embedded in web pages (e.g. images, music) or pointed to by hyperlinks (e.g. downloadable files). Users usually search for...
Muyuan Wang, Zhiwei Li, Lie Lu, Wei-Ying Ma, Naiya...
KDD
2007
ACM
139views Data Mining» more  KDD 2007»
14 years 9 months ago
Raising the baseline for high-precision text classifiers
Many important application areas of text classifiers demand high precision and it is common to compare prospective solutions to the performance of Naive Bayes. This baseline is us...
Aleksander Kolcz, Wen-tau Yih