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KDD
2003
ACM
148views Data Mining» more  KDD 2003»
16 years 7 months ago
Mining concept-drifting data streams using ensemble classifiers
Recently, mining data streams with concept drifts for actionable insights has become an important and challenging task for a wide range of applications including credit card fraud...
Haixun Wang, Wei Fan, Philip S. Yu, Jiawei Han
ICANN
2009
Springer
15 years 11 months ago
Constrained Learning Vector Quantization or Relaxed k-Separability
Neural networks and other sophisticated machine learning algorithms frequently miss simple solutions that can be discovered by a more constrained learning methods. Transition from ...
Marek Grochowski, Wlodzislaw Duch
CVPR
2009
IEEE
17 years 1 months ago
Unsupervised Learning of Hierarchical Spatial Structures In Images
The visual world demonstrates organized spatial patterns, among objects or regions in a scene, object-parts in an object, and low-level features in object-parts. These classes o...
Devi Parikh (Carnegie Mellon University), C. Lawre...
CCS
2010
ACM
15 years 4 months ago
Assessing trust in uncertain information using Bayesian description logic
Decision makers (humans or software agents alike) are faced with the challenge of examining large volumes of information originating from heterogeneous sources with the goal of as...
Achille Fokoue, Mudhakar Srivatsa, Robert Young
PG
2003
IEEE
15 years 12 months ago
Particle-Based Visual Simulation of Explosive Flames
In the present paper, we propose a particle-based method for the visual simulation of explosive flames. This method consists of a numerical simulation method based on a fluid mode...
Daiki Takeshita, Shin Ota, Machiko Tamura, Tadahir...