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» Machine-Learning Applications of Algorithmic Randomness
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WWW
2009
ACM
16 years 2 months ago
A dynamic bayesian network click model for web search ranking
As with any application of machine learning, web search ranking requires labeled data. The labels usually come in the form of relevance assessments made by editors. Click logs can...
Olivier Chapelle, Ya Zhang
KDD
2007
ACM
139views Data Mining» more  KDD 2007»
16 years 2 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
KDD
2004
ACM
114views Data Mining» more  KDD 2004»
16 years 2 months ago
Mining reference tables for automatic text segmentation
Automatically segmenting unstructured text strings into structured records is necessary for importing the information contained in legacy sources and text collections into a data ...
Eugene Agichtein, Venkatesh Ganti
207
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SIGMOD
2007
ACM
190views Database» more  SIGMOD 2007»
16 years 1 months ago
Map-reduce-merge: simplified relational data processing on large clusters
Map-Reduce is a programming model that enables easy development of scalable parallel applications to process vast amounts of data on large clusters of commodity machines. Through ...
Hung-chih Yang, Ali Dasdan, Ruey-Lung Hsiao, Dougl...
MCS
2009
Springer
15 years 8 months ago
True Path Rule Hierarchical Ensembles
Abstract. Hierarchical classification problems gained increasing attention within the machine learning community, and several methods for hierarchically structured taxonomies have...
Giorgio Valentini