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ICDM
2005
IEEE
122views Data Mining» more  ICDM 2005»
14 years 2 months ago
Learning through Changes: An Empirical Study of Dynamic Behaviors of Probability Estimation Trees
In practice, learning from data is often hampered by the limited training examples. In this paper, as the size of training data varies, we empirically investigate several probabil...
Kun Zhang, Zujia Xu, Jing Peng, Bill P. Buckles
NORDICHI
2004
ACM
14 years 2 months ago
Sharing and learning through pair writing of scenarios
This paper describes the results of an empirical study consisting of five sessions where scenarios are written by two writers working in unison, for instance a usability specialis...
Adi B. Tedjasaputra, Eunice Ratna Sari, Georg Stro...
DAGM
2004
Springer
14 years 2 months ago
Learning with Distance Substitution Kernels
Abstract. During recent years much effort has been spent in incorporating problem specific a-priori knowledge into kernel methods for machine learning. A common example is a-prior...
Bernard Haasdonk, Claus Bahlmann
KES
2004
Springer
14 years 2 months ago
Semi-supervised Learning from Unbalanced Labeled Data - An Improvement
Abstract. We present a possibly great improvement while performing semisupervised learning tasks from training data sets when only a small fraction of the data pairs is labeled. In...
Te Ming Huang, Vojislav Kecman
DNA
2003
Springer
101views Bioinformatics» more  DNA 2003»
14 years 2 months ago
A Lab-on-a-Chip Module for Bead Separation in DNA-Based Concept Learning
Affinity separation with magnetic beads is an important and widely used technique for DNA computing. We have designed and implemented an experimental lab-on-a-chip module for affin...
Hee-Woong Lim, Hae-Man Jang, Sung-Mo Ha, Young-Gyu...