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142
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KDD
1995
ACM
148views Data Mining» more  KDD 1995»
15 years 7 months ago
Learning Arbiter and Combiner Trees from Partitioned Data for Scaling Machine Learning
Knowledge discovery in databases has become an increasingly important research topic with the advent of wide area network computing. One of the crucial problems we study in this p...
Philip K. Chan, Salvatore J. Stolfo
138
Voted
EDM
2009
110views Data Mining» more  EDM 2009»
15 years 2 months ago
Using Learning Decomposition and Bootstrapping with Randomization to Compare the Impact of Different Educational Interventions o
A basic question of instructional interventions is how effective it is in promoting student learning. This paper presents a study to determine the relative efficacy of different in...
Mingyu Feng, Joseph Beck, Neil T. Heffernan
ICML
2010
IEEE
15 years 5 months ago
Boosting for Regression Transfer
The goal of transfer learning is to improve the learning of a new target concept given knowledge of related source concept(s). We introduce the first boosting-based algorithms for...
David Pardoe, Peter Stone
BMCBI
2007
95views more  BMCBI 2007»
15 years 4 months ago
Phylogenetic tree information aids supervised learning for predicting protein-protein interaction based on distance matrices
Background: Protein-protein interactions are critical for cellular functions. Recently developed computational approaches for predicting protein-protein interactions utilize co-ev...
Roger A. Craig, Li Liao
ICDE
2011
IEEE
258views Database» more  ICDE 2011»
14 years 8 months ago
SystemML: Declarative machine learning on MapReduce
Abstract—MapReduce is emerging as a generic parallel programming paradigm for large clusters of machines. This trend combined with the growing need to run machine learning (ML) a...
Amol Ghoting, Rajasekar Krishnamurthy, Edwin P. D....