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IWANN
2005
Springer
15 years 10 months ago
Input and Structure Selection for k-NN Approximator
Abstract. This paper presents k-NN as an approximator for time series prediction problems. The main advantage of this approximator is its simplicity. Despite the simplicity, k-NN c...
Antti Sorjamaa, Nima Reyhani, Amaury Lendasse
107
Voted
MICCAI
2001
Springer
15 years 9 months ago
Intraoperative Tracking of Anatomical Structures Using Fluoroscopy and a Vascular Balloon Catheter
We present preliminary work on a novel technique for tracking anatomical structures during medical procedures. A vascular balloon catheter is placed within a vessel in the structur...
Michael Rosenthal, Susan Weeks, Stephen R. Aylward...
124
Voted
ACL
2008
15 years 6 months ago
Using Adaptor Grammars to Identify Synergies in the Unsupervised Acquisition of Linguistic Structure
Adaptor grammars (Johnson et al., 2007b) are a non-parametric Bayesian extension of Probabilistic Context-Free Grammars (PCFGs) which in effect learn the probabilities of entire s...
Mark Johnson
EDM
2010
134views Data Mining» more  EDM 2010»
15 years 6 months ago
Examining Learner Control in a Structured Inquiry Cycle Using Process Mining
High potential variation in prior knowledge, metacognitive skills, and motivation within learner populations can prompt design strategies that combine explicit structuring and scaf...
Larry Howard, Julie Johnson, Carin Neitzel
IJCAI
2007
15 years 6 months ago
Incremental Construction of Structured Hidden Markov Models
This paper presents an algorithm for inferring a Structured Hidden Markov Model (S-HMM) from a set of sequences. The S-HMMs are a sub-class of the Hierarchical Hidden Markov Model...
Ugo Galassi, Attilio Giordana, Lorenza Saitta