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» Introduction to Randomized Algorithms
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JMLR
2006
135views more  JMLR 2006»
15 years 3 months ago
Quantile Regression Forests
Random forests were introduced as a machine learning tool in Breiman (2001) and have since proven to be very popular and powerful for high-dimensional regression and classificatio...
Nicolai Meinshausen
CISS
2007
IEEE
15 years 9 months ago
Towards Optimal Design of Data Hiding Algorithms Against Nonparametric Adversary Models
Abstract—This paper presents a novel zero-sum watermarking game between a detection algorithm and a data hiding adversary. Contrary to previous research, the detection algorithm ...
Alvaro A. Cárdenas, George V. Moustakides, ...
GECCO
2007
Springer
177views Optimization» more  GECCO 2007»
15 years 9 months ago
Evolutionary algorithms and matroid optimization problems
We analyze the performance of evolutionary algorithms on various matroid optimization problems that encompass a vast number of efficiently solvable as well as NP-hard combinatoria...
Joachim Reichel, Martin Skutella
CORR
2008
Springer
116views Education» more  CORR 2008»
15 years 3 months ago
A statistical mechanical interpretation of algorithmic information theory
Abstract. We develop a statistical mechanical interpretation of algorithmic information theory by introducing the notion of thermodynamic quantities, such as free energy, energy, s...
Kohtaro Tadaki
113
Voted
SODA
2010
ACM
197views Algorithms» more  SODA 2010»
16 years 14 days ago
Quasirandom Load Balancing
We propose a simple distributed algorithm for balancing indivisible tokens on graphs. The algorithm is completely deterministic, though it tries to imitate (and enhance) a random ...
Tobias Friedrich, Martin Gairing, Thomas Sauerwald