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» On Computable Tree Functions
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115
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AAAI
2006
15 years 5 months ago
When a Decision Tree Learner Has Plenty of Time
The majority of the existing algorithms for learning decision trees are greedy--a tree is induced top-down, making locally optimal decisions at each node. In most cases, however, ...
Saher Esmeir, Shaul Markovitch
103
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PPDP
2001
Springer
15 years 8 months ago
Cycle Therapy: A Prescription for Fold and Unfold on Regular Trees
Cyclic data structures can be tricky to create and manipulate in declarative programming languages. In a declarative setting, a natural way to view cyclic structures is as denotin...
Franklyn A. Turbak, J. B. Wells
156
Voted
AUSDM
2008
Springer
258views Data Mining» more  AUSDM 2008»
15 years 5 months ago
wFDT - Weighted Fuzzy Decision Trees for Prognosis of Breast Cancer Survivability
Accurate and less invasive personalized predictive medicine can spare many breast cancer patients from receiving complex surgical biopsies, unnecessary adjuvant treatments and its...
Umer Khan, Hyunjung Shin, Jongpill Choi, Minkoo Ki...
135
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APLAS
2010
ACM
15 years 3 months ago
Verification of Tree-Processing Programs via Higher-Order Model Checking
Abstract. We propose a new method to verify that a higher-order, treeprocessing functional program conforms to an input/output specification. Our method reduces the verification pr...
Hiroshi Unno, Naoshi Tabuchi, Naoki Kobayashi
149
Voted
TCBB
2010
106views more  TCBB 2010»
14 years 10 months ago
Quantifying the Degree of Self-Nestedness of Trees: Application to the Structural Analysis of Plants
In this paper we are interested in the problem of approximating trees by trees with a particular self-nested structure. Self-nested trees are such that all their subtrees of a give...
Christophe Godin, Pascal Ferraro