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MCS
2000
Springer
15 years 3 months ago
Analysis of a Fusion Method for Combining Marginal Classifiers
The use of multiple features by a classifier often leads to a reduced probability of error, but the design of an optimal Bayesian classifier for multiple features is dependent on t...
Mark D. Happel, Peter Bock
KDD
2003
ACM
243views Data Mining» more  KDD 2003»
16 years 2 days ago
Accurate decision trees for mining high-speed data streams
In this paper we study the problem of constructing accurate decision tree models from data streams. Data streams are incremental tasks that require incremental, online, and any-ti...
João Gama, Pedro Medas, Ricardo Rocha
ICCAD
2001
IEEE
124views Hardware» more  ICCAD 2001»
15 years 8 months ago
Partition-Based Decision Heuristics for Image Computation Using SAT and BDDs
Methods based on Boolean satisfiability (SAT) typically use a Conjunctive Normal Form (CNF) representation of the Boolean formula, and exploit the structure of the given problem ...
Aarti Gupta, Zijiang Yang, Pranav Ashar, Lintao Zh...
CAV
2007
Springer
116views Hardware» more  CAV 2007»
15 years 5 months ago
A Decision Procedure for Bit-Vectors and Arrays
Abstract. STP is a decision procedure for the satisfiability of quantifier-free formulas in the theory of bit-vectors and arrays that has been optimized for large problems encoun...
Vijay Ganesh, David L. Dill
CAV
2007
Springer
112views Hardware» more  CAV 2007»
15 years 5 months ago
Magnifying-Lens Abstraction for Markov Decision Processes
ng-Lens Abstraction for Markov Decision Processes⋆ In Proc. of CAV 2007: 19th International Conference on Computer-Aided Verification, Lectures Notes in Computer Science. c Spri...
Luca de Alfaro, Pritam Roy