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» Genericity in Graphics Recognition Algorithms
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73
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FLAIRS
2004
14 years 11 months ago
Decision Tree Extraction from Trained Neural Networks
Artificial Neural Networks (ANNs) have proved both a popular and powerful technique for pattern recognition tasks in a number of problem domains. However, the adoption of ANNs in ...
Darren Dancey, David McLean, Zuhair Bandar
81
Voted
ICML
2006
IEEE
15 years 11 months ago
Probabilistic inference for solving discrete and continuous state Markov Decision Processes
Inference in Markov Decision Processes has recently received interest as a means to infer goals of an observed action, policy recognition, and also as a tool to compute policies. ...
Marc Toussaint, Amos J. Storkey
CIKM
2005
Springer
15 years 3 months ago
A novel refinement approach for text categorization
In this paper we present a novel strategy, DragPushing, for improving the performance of text classifiers. The strategy is generic and takes advantage of training errors to succes...
Songbo Tan, Xueqi Cheng, Moustafa Ghanem, Bin Wang...
82
Voted
PR
2008
145views more  PR 2008»
14 years 10 months ago
Probabilistic suffix models for API sequence analysis of Windows XP applications
Given the pervasive nature of malicious mobile code (viruses, worms, etc.), developing statistical/structural models of code execution is of considerable importance. We investigat...
Geoffrey Mazeroff, Jens Gregor, Michael G. Thomaso...
164
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IUI
2012
ACM
13 years 5 months ago
PhysicsBook: a sketch-based interface for animating physics diagrams
We present PhysicsBook, a prototype system that enables users to solve physics problems using a sketch-based interface and then animates any diagram used in solving the problem to...
Salman Cheema, Joseph J. LaViola Jr.