Sciweavers

EUROPAR
2007
Springer
13 years 10 months ago
Decision Trees and MPI Collective Algorithm Selection Problem
Selecting the close-to-optimal collective algorithm based on the parameters of the collective call at run time is an important step for achieving good performance of MPI applicatio...
Jelena Pjesivac-Grbovic, George Bosilca, Graham E....
ICDM
2008
IEEE
120views Data Mining» more  ICDM 2008»
13 years 11 months ago
Predicting Future Decision Trees from Evolving Data
Recognizing and analyzing change is an important human virtue because it enables us to anticipate future scenarios and thus allows us to act pro-actively. One approach to understa...
Mirko Böttcher, Martin Spott, Rudolf Kruse
ICDM
2008
IEEE
99views Data Mining» more  ICDM 2008»
13 years 11 months ago
Finding Good Itemsets by Packing Data
The problem of selecting small groups of itemsets that represent the data well has recently gained a lot of attention. We approach the problem by searching for the itemsets that c...
Nikolaj Tatti, Jilles Vreeken
ICCD
2002
IEEE
93views Hardware» more  ICCD 2002»
14 years 1 months ago
Speculative Trace Scheduling in VLIW Processors
VLIW processors are statically scheduled processors and their performance depends on the quality of the compiler’s scheduler. We propose a scheduling scheme where the applicatio...
Manvi Agarwal, S. K. Nandy, Jos T. J. van Eijndhov...
KDD
2003
ACM
132views Data Mining» more  KDD 2003»
14 years 5 months ago
PaintingClass: interactive construction, visualization and exploration of decision trees
Decision trees are commonly used for classification. We propose to use decision trees not just for classification but also for the wider purpose of knowledge discovery, because vi...
Soon Tee Teoh, Kwan-Liu Ma
CP
2009
Springer
14 years 5 months ago
Minimising Decision Tree Size as Combinatorial Optimisation
Decision tree induction techniques attempt to find small trees that fit a training set of data. This preference for smaller trees, which provides a learning bias, is often justifie...
Christian Bessiere, Emmanuel Hebrard, Barry O'Sull...
ICML
2001
IEEE
14 years 5 months ago
Breeding Decision Trees Using Evolutionary Techniques
Athanassios Papagelis, Dimitrios Kalles
ICML
2004
IEEE
14 years 5 months ago
Lookahead-based algorithms for anytime induction of decision trees
The majority of the existing algorithms for learning decision trees are greedy--a tree is induced top-down, making locally optimal decisions at each node. In most cases, however, ...
Saher Esmeir, Shaul Markovitch
ICDE
2009
IEEE
151views Database» more  ICDE 2009»
14 years 6 months ago
Decision Trees for Uncertain Data
Traditional decision tree classifiers work with data whose values are known and precise. We extend such classifiers to handle data with uncertain information, which originates from...
Smith Tsang, Ben Kao, Kevin Y. Yip, Wai-Shing Ho, ...
ECCV
2008
Springer
14 years 6 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