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EUROCOLT
1995
Springer
15 years 8 months ago
A decision-theoretic generalization of on-line learning and an application to boosting
k. The model we study can be interpreted as a broad, abstract extension of the well-studied on-line prediction model to a general decision-theoretic setting. We show that the multi...
Yoav Freund, Robert E. Schapire
KDD
1995
ACM
129views Data Mining» more  KDD 1995»
15 years 8 months ago
Feature Extraction for Massive Data Mining
Techniques for learning from data typically require data to be in standard form. Measurements must be encoded in a numerical format such as binary true-or-false features, numerica...
V. Seshadri, Raguram Sasisekharan, Sholom M. Weiss
VISSYM
2007
15 years 6 months ago
Model-free Surface Visualization of Vascular Trees
Expressive and efficient visualizations of complex vascular structures are essential for medical applications, such as diagnosis and therapy planning. A variety of techniques has ...
Christian Schumann, Steffen Oeltze, Ragnar Bade, B...
MMB
2010
Springer
185views Communications» more  MMB 2010»
15 years 6 months ago
Correctness Issues of Symbolic Bisimulation Computation for Markov Chains
Abstract. Bisimulation reduction is a classical means to fight the infamous state space explosion problem, which limits the applicability of automated methods for verification li...
Ralf Wimmer, Bernd Becker
CDES
2008
123views Hardware» more  CDES 2008»
15 years 5 months ago
R-tree: A Hardware Implementation
R-tree data structures are widely used in spatial databases to store, manage and manipulate spatial information. As the data volume of such databases is typically very large, the q...
Xiang Xiao, Tuo Shi, Pranav Vaidya, Jaehwan John L...