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FLAIRS
2008
15 years 8 months ago
A Backward Adjusting Strategy and Optimization of the C4.5 Parameters to Improve C4.5's Performance
In machine learning, decision trees are employed extensively in solving classification problems. In order to design a decision tree classifier two main phases are employed. The fi...
Jason R. Beck, Maria Garcia, Mingyu Zhong, Michael...
TIT
2008
90views more  TIT 2008»
15 years 6 months ago
Scanning and Sequential Decision Making for Multidimensional Data - Part II: The Noisy Case
We consider the problem of sequential decision making for random fields corrupted by noise. In this scenario, the decision maker observes a noisy version of the data, yet judged wi...
Asaf Cohen, Tsachy Weissman, Neri Merhav
CDC
2008
IEEE
102views Control Systems» more  CDC 2008»
15 years 8 months ago
Search decisions for teams of automata
Abstract-- The dynamics of exploration vs exploitation decisions are explored in the context of robotic search problems. Building on prior work on robotic search together with our ...
Dimitar Baronov, John Baillieul
EMMCVPR
2001
Springer
15 years 10 months ago
A Hierarchical Markov Random Field Model for Figure-Ground Segregation
To segregate overlapping objects into depth layers requires the integration of local occlusion cues distributed over the entire image into a global percept. We propose to model thi...
Stella X. Yu, Tai Sing Lee, Takeo Kanade
DIAGRAMS
2004
Springer
15 years 11 months ago
Decision Diagrams in Machine Learning: An Empirical Study on Real-Life Credit-Risk Data
Decision trees are a widely used knowledge representation in machine learning. However, one of their main drawbacks is the inherent replication of isomorphic subtrees, as a result...
Christophe Mues, Bart Baesens, Craig M. Files, Jan...