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» Upper Bounds for Maximally Greedy Binary Search Trees
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ICTAI
2010
IEEE
13 years 2 months ago
Unsupervised Greedy Learning of Finite Mixture Models
This work deals with a new technique for the estimation of the parameters and number of components in a finite mixture model. The learning procedure is performed by means of a expe...
Nicola Greggio, Alexandre Bernardino, Cecilia Lasc...
CORR
2010
Springer
174views Education» more  CORR 2010»
13 years 5 months ago
Gaussian Process Bandits for Tree Search
We motivate and analyse a new Tree Search algorithm, based on recent advances in the use of Gaussian Processes for bandit problems. We assume that the function to maximise on the ...
Louis Dorard, John Shawe-Taylor
HEURISTICS
1998
103views more  HEURISTICS 1998»
13 years 4 months ago
Computing Approximate Solutions of the Maximum Covering Problem with GRASP
We consider the maximum covering problem, a combinatorial optimization problem that arises in many facility location problems. In this problem, a potential facility site covers a s...
Mauricio G. C. Resende
ALGORITHMICA
2005
108views more  ALGORITHMICA 2005»
13 years 4 months ago
Key-Independent Optimality
A new form of optimality for comparison based static dictionaries is introduced. This type of optimality, keyindependent optimality, is motivated by applications that assign key v...
John Iacono
SWAT
1992
Springer
147views Algorithms» more  SWAT 1992»
13 years 9 months ago
Efficient Rebalancing of Chromatic Search Trees
In PODS'91, Nurmi and Soisalon-Soininen presented a new type of binary search tree for databases, which they call a chromatic tree. The aim is to improve runtime performance ...
Joan Boyar, Kim S. Larsen