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AAAI
2006
13 years 9 months ago
When a Decision Tree Learner Has Plenty of Time
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
CIKM
2009
Springer
14 years 2 months ago
Learning to rank from Bayesian decision inference
Ranking is a key problem in many information retrieval (IR) applications, such as document retrieval and collaborative filtering. In this paper, we address the issue of learning ...
Jen-Wei Kuo, Pu-Jen Cheng, Hsin-Min Wang
IPSN
2011
Springer
12 years 11 months ago
Localising speech, footsteps and other sounds using resource-constrained devices
While a number of acoustic localisation systems have been proposed over the last few decades, these have typically either relied on expensive dedicated microphone arrays and works...
Yukang Guo, Mike Hazas
SIGMOD
2009
ACM
161views Database» more  SIGMOD 2009»
14 years 2 months ago
Dependency-aware reordering for parallelizing query optimization in multi-core CPUs
The state of the art commercial query optimizers employ cost-based optimization and exploit dynamic programming (DP) to find the optimal query execution plan (QEP) without evalua...
Wook-Shin Han, Jinsoo Lee
PPOPP
2006
ACM
14 years 1 months ago
Exploiting distributed version concurrency in a transactional memory cluster
We investigate a transactional memory runtime system providing scaling and strong consistency for generic C++ and SQL applications on commodity clusters. We introduce a novel page...
Kaloian Manassiev, Madalin Mihailescu, Cristiana A...