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» Learning decision trees from dynamic data streams
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NIPS
1996
13 years 8 months ago
Multidimensional Triangulation and Interpolation for Reinforcement Learning
Dynamic Programming, Q-learning and other discrete Markov Decision Process solvers can be applied to continuous d-dimensional state-spaces by quantizing the state space into an arr...
Scott Davies
KDD
2004
ACM
106views Data Mining» more  KDD 2004»
14 years 8 months ago
Early detection of insider trading in option markets
"Inside information" comes in many forms: knowledge of a corporate takeover, a terrorist attack, unexpectedly poor earnings, the FDA's acceptance of a new drug, etc...
Steve Donoho
JVCA
2006
87views more  JVCA 2006»
13 years 7 months ago
Tour into the picture with water surface reflection and object movements
Given a still picture, tour into the picture (TIP) generates a walk-through animation of a 3D scene constructed from the picture. In this paper, we generalize TIP to deal with wat...
Jinho Park, Nambin Heo, Sunghee Choi, Sung Yong Sh...
ICML
2004
IEEE
14 years 8 months ago
Boosting margin based distance functions for clustering
The performance of graph based clustering methods critically depends on the quality of the distance function, used to compute similarities between pairs of neighboring nodes. In t...
Tomer Hertz, Aharon Bar-Hillel, Daphna Weinshall
ATAL
2005
Springer
14 years 1 months ago
Rapid on-line temporal sequence prediction by an adaptive agent
Robust sequence prediction is an essential component of an intelligent agent acting in a dynamic world. We consider the case of near-future event prediction by an online learning ...
Steven Jensen, Daniel Boley, Maria L. Gini, Paul R...