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» Presenting Data from Experiments in Algorithmics
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IDA
2007
Springer
16 years 21 days ago
Two Bagging Algorithms with Coupled Learners to Encourage Diversity
In this paper, we present two ensemble learning algorithms which make use of boostrapping and out-of-bag estimation in an attempt to inherit the robustness of bagging to overfitti...
Carlos Valle, Ricardo Ñanculef, Héct...
DCOSS
2005
Springer
16 years 2 days ago
Multiple Controlled Mobile Elements (Data Mules) for Data Collection in Sensor Networks
Recent research has shown that using a mobile element to collect and carry data mechanically from a sensor network has many advantages over static multihop routing. We have an imp...
David Jea, Arun A. Somasundara, Mani B. Srivastava
ICCV
2001
IEEE
16 years 8 months ago
Real-Time Tracking of Highly Articulated Structures in the Presence of Noisy Measurements
This paper presents a novel approach for model-based realtime tracking of highly articulated structures such as humans. This approach is based on an algorithm which efficiently pr...
Tom Drummond, Roberto Cipolla
ISCAS
2003
IEEE
117views Hardware» more  ISCAS 2003»
15 years 11 months ago
Learning temporal correlations in biologically-inspired aVLSI
Temporally-asymmetric Hebbian learning is a class of algorithms motivated by data from recent neurophysiology experiments. While traditional Hebbian learning rules use mean firin...
Adria Bofill-i-Petit, Alan F. Murray
INCDM
2010
Springer
308views Data Mining» more  INCDM 2010»
15 years 8 months ago
Data Mining with Neural Networks and Support Vector Machines Using the R/rminer Tool
We present rminer, our open source library for the R tool that facilitates the use of data mining (DM) algorithms, such as neural Networks (NNs) and support vector machines (SVMs),...
Paulo Cortez