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KDD
1998
ACM
113views Data Mining» more  KDD 1998»
13 years 11 months ago
Targeting Business Users with Decision Table Classifiers
Business users and analysts commonly use spreadsheets and 2D plots to analyze and understand their data. On-line Analytical Processing (OLAP) provides these users with added flexi...
Ron Kohavi, Dan Sommerfield
TON
2010
171views more  TON 2010»
13 years 2 months ago
Constructing Maximum-Lifetime Data-Gathering Forests in Sensor Networks
Abstract--Energy efficiency is critical for wireless sensor networks. The data-gathering process must be carefully designed to conserve energy and extend network lifetime. For appl...
Yan Wu, Zhoujia Mao, Sonia Fahmy, Ness B. Shroff
ECCV
2008
Springer
14 years 9 months ago
Implementing Decision Trees and Forests on a GPU
We describe a method for implementing the evaluation and training of decision trees and forests entirely on a GPU, and show how this method can be used in the context of object rec...
Toby Sharp
NIPS
2004
13 years 8 months ago
Using Random Forests in the Structured Language Model
In this paper, we explore the use of Random Forests (RFs) in the structured language model (SLM), which uses rich syntactic information in predicting the next word based on words ...
Peng Xu, Frederick Jelinek
BMCBI
2010
118views more  BMCBI 2010»
13 years 7 months ago
Detecting lateral gene transfers by statistical reconciliation of phylogenetic forests
Background: To understand the evolutionary role of Lateral Gene Transfer (LGT), accurate methods are needed to identify transferred genes and infer their timing of acquisition. Ph...
Sophie S. Abby, Eric Tannier, Manolo Gouy, Vincent...