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SPIRE
2005
Springer
14 years 6 days ago
Using the k-Nearest Neighbor Graph for Proximity Searching in Metric Spaces
Proximity searching consists in retrieving from a database, objects that are close to a query. For this type of searching problem, the most general model is the metric space, where...
Rodrigo Paredes, Edgar Chávez
ML
2010
ACM
135views Machine Learning» more  ML 2010»
13 years 1 months ago
Multi-domain learning by confidence-weighted parameter combination
State-of-the-art statistical NLP systems for a variety of tasks learn from labeled training data that is often domain specific. However, there may be multiple domains or sources o...
Mark Dredze, Alex Kulesza, Koby Crammer
MICCAI
2004
Springer
14 years 7 months ago
Solving Incrementally the Fitting and Detection Problems in fMRI Time Series
We tackle the problem of real-time statistical analysis of functional magnetic resonance imaging (fMRI) data. In a recent paper, we proposed an incremental algorithm based on the e...
Alexis Roche, Philippe Pinel, Stanislas Dehaene, J...
ISPDC
2005
IEEE
14 years 9 days ago
Adaptive window scheduling for a hierarchical agent system
DIET (Distributed Interactive Engineering Toolbox) is a toolbox for the construction of Network Enabled Server (NES) systems. For most NES systems, as for most grid middleware sys...
Holly Dail, Frederic Desprez
MIR
2005
ACM
129views Multimedia» more  MIR 2005»
14 years 8 days ago
Tracking concept drifting with an online-optimized incremental learning framework
Concept drifting is an important and challenging research issue in the field of machine learning. This paper mainly addresses the issue of semantic concept drifting in time series...
Jun Wu, Dayong Ding, Xian-Sheng Hua, Bo Zhang