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» Approximate algorithms for neural-Bayesian approaches
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ICRA
2008
IEEE
113views Robotics» more  ICRA 2008»
15 years 4 months ago
Reinforcement learning with function approximation for cooperative navigation tasks
— In this paper, we propose a reinforcement learning approach to address multi-robot cooperative navigation tasks in infinite settings. We propose an algorithm to simultaneously...
Francisco S. Melo, M. Isabel Ribeiro
APPROX
2008
Springer
101views Algorithms» more  APPROX 2008»
14 years 11 months ago
Streaming Algorithms for k-Center Clustering with Outliers and with Anonymity
Clustering is a common problem in the analysis of large data sets. Streaming algorithms, which make a single pass over the data set using small working memory and produce a cluster...
Richard Matthew McCutchen, Samir Khuller
SODA
2008
ACM
111views Algorithms» more  SODA 2008»
14 years 11 months ago
On distance to monotonicity and longest increasing subsequence of a data stream
In this paper we consider problems related to the sortedness of a data stream. First we investigate the problem of estimating the distance to monotonicity; given a sequence of len...
Funda Ergün, Hossein Jowhari
85
Voted
ICML
2010
IEEE
14 years 10 months ago
A scalable trust-region algorithm with application to mixed-norm regression
We present a new algorithm for minimizing a convex loss-function subject to regularization. Our framework applies to numerous problems in machine learning and statistics; notably,...
Dongmin Kim, Suvrit Sra, Inderjit S. Dhillon
COR
2006
82views more  COR 2006»
14 years 9 months ago
Semidefinite programming based approaches to the break minimization problem
This paper considers the break minimization problem in sports timetabling. The problem is to find, under a given timetable of a round-robin tournament, a home-away assignment that...
Ryuhei Miyashiro, Tomomi Matsui