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AAAI
2006
14 years 11 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
CORR
2010
Springer
108views Education» more  CORR 2010»
14 years 4 months ago
Finding Cycles and Trees in Sublinear Time
We present sublinear-time (randomized) algorithms for finding simple cycles of length at least k 3 and tree-minors in bounded-degree graphs. The complexity of these algorithms is...
Artur Czumaj, Oded Goldreich, Dana Ron, C. Seshadh...
SODA
1992
ACM
252views Algorithms» more  SODA 1992»
14 years 10 months ago
A General Approximation Technique for Constrained Forest Problems
We present a general approximation technique for a large class of graph problems. Our technique mostly applies to problems of covering, at minimum cost, the vertices of a graph wit...
Michel X. Goemans, David P. Williamson
92
Voted
ML
2010
ACM
159views Machine Learning» more  ML 2010»
14 years 8 months ago
Algorithms for optimal dyadic decision trees
Abstract A dynamic programming algorithm for constructing optimal dyadic decision trees was recently introduced, analyzed, and shown to be very effective for low dimensional data ...
Don R. Hush, Reid B. Porter
SODA
2004
ACM
124views Algorithms» more  SODA 2004»
14 years 11 months ago
Family trees: an ordered dictionary with optimal congestion, locality, degree, and search time
We consider the problem of storing an ordered dictionary data structure over a distributed set of nodes. In contrast to traditional sequential data structures, distributed data st...
Kevin C. Zatloukal, Nicholas J. A. Harvey