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BIGDATA
2013
45views more  BIGDATA 2013»
6 years 1 months ago
A Database-Hadoop Hybrid Approach to Scalable Machine Learning
—There are two popular schools of thought for performing large-scale machine learning that does not fit into memory. One is to run machine learning within a relational database ...
Makoto Yui, Isao Kojima
GFKL
2005
Springer
93views Data Mining» more  GFKL 2005»
9 years 11 months ago
A Hybrid Machine Learning Approach for Information Extraction from Free Text
Abstract. We present a hybrid machine learning approach for information extraction from unstructured documents by integrating a learned classifier based on the Maximum Entropy Mod...
Günter Neumann
WKDD
2010
CPS
204views Data Mining» more  WKDD 2010»
9 years 11 months ago
A Scalable, Accurate Hybrid Recommender System
—Recommender systems apply machine learning techniques for filtering unseen information and can predict whether a user would like a given resource. There are three main types of...
Mustansar Ali Ghazanfar, Adam Prügel-Bennett
ICPP
1996
IEEE
9 years 9 months ago
On the Scalability of 2-D Wavelet Transform Algorithms on Fine-grained Parallel Machines
: We study the scalability of 2-D discrete wavelet transform algorithms on fine-grained parallel architectures. The principal operation in the 2-D DWT is the filtering operation us...
Jamshed N. Patel, Ashfaq A. Khokhar, Leah H. Jamie...
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