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» Data Discretization Unification
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SDM
2008
SIAM
140views Data Mining» more  SDM 2008»
13 years 10 months ago
Large-Scale Many-Class Learning
In many multiclass learning scenarios, the number of classes is relatively large (thousands,...), or the space and time efficiency of the learning system can be crucial. We invest...
Omid Madani, Michael Connor
FLAIRS
2001
13 years 10 months ago
A Method for Evaluating Elicitation Schemes for Probabilities
We present an objective approach for evaluating probability elicitation methods in probabilistic models. Our method draws on ideas from research on learning Bayesian networks: if ...
Haiqin Wang, Denver Dash, Marek J. Druzdzel
PRIS
2004
13 years 10 months ago
Similarity Range Queries in Streaming Time Series
Similarity search in time series databases is an important research direction. Several methods have been proposed in order to provide algorithms for efficient query processing in t...
Maria Kontaki, Apostolos Papadopoulos, Yannis Mano...
VMV
2001
248views Visualization» more  VMV 2001»
13 years 10 months ago
Using an Extended Hough Transform Combined with a Kalman Filter to Segment Tubular Structures in 3D Medical Images
We present a new approach for the coarse segmentation of tubular structures in 3D image data. Our algorithm, which requires only few initial values and minimal user interaction, c...
Thorsten Behrens, Karl Rohr, H. Siegfried Stiehl
COLING
1996
13 years 10 months ago
Learning Dependencies between Case Frame Slots
We address the problem of automatically acquiring case frame patterns (selectional patterns) from large corpus data. In particular, we l)ropose a method of learning dependencies b...
Hang Li, Naoki Abe