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» Decision Trees for Functional Variables
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UAI
2004
13 years 9 months ago
Dynamic Programming for Structured Continuous Markov Decision Problems
We describe an approach for exploiting structure in Markov Decision Processes with continuous state variables. At each step of the dynamic programming, the state space is dynamica...
Zhengzhu Feng, Richard Dearden, Nicolas Meuleau, R...
ICCAD
1995
IEEE
127views Hardware» more  ICCAD 1995»
13 years 11 months ago
Hybrid decision diagrams
Abstract: Functions that map boolean vectors into the integers are important for the design and veri cation of arithmetic circuits. MTBDDs and BMDs have been proposed for represent...
Edmund M. Clarke, Masahiro Fujita, Xudong Zhao
SIAMCOMP
2000
104views more  SIAMCOMP 2000»
13 years 7 months ago
On the Difficulty of Designing Good Classifiers
We consider the problem of designing a near-optimal linear decision tree to classify two given point sets B and W in n. A linear decision tree de nes a polyhedral subdivision of sp...
Michelangelo Grigni, Vincent Mirelli, Christos H. ...
BMCBI
2010
126views more  BMCBI 2010»
13 years 7 months ago
A boosting method for maximizing the partial area under the ROC curve
Background: The receiver operating characteristic (ROC) curve is a fundamental tool to assess the discriminant performance for not only a single marker but also a score function c...
Osamu Komori, Shinto Eguchi
UAI
2004
13 years 9 months ago
Solving Factored MDPs with Continuous and Discrete Variables
Although many real-world stochastic planning problems are more naturally formulated by hybrid models with both discrete and continuous variables, current state-of-the-art methods ...
Carlos Guestrin, Milos Hauskrecht, Branislav Kveto...