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STOC
1999
ACM
104views Algorithms» more  STOC 1999»
15 years 10 months ago
Fast Approximate PCPs
We investigate the question of when a prover can aid a verifier to reliably compute a function faster than if the verifier were to compute the function on its own. Our focus is ...
Funda Ergün, Ravi Kumar, Ronitt Rubinfeld
AAAI
2008
15 years 8 months ago
Adaptive Importance Sampling with Automatic Model Selection in Value Function Approximation
Off-policy reinforcement learning is aimed at efficiently reusing data samples gathered in the past, which is an essential problem for physically grounded AI as experiments are us...
Hirotaka Hachiya, Takayuki Akiyama, Masashi Sugiya...
CCCG
2010
15 years 7 months ago
Approximating the independent domatic partition problem in random geometric graphs - an experimental study
We investigate experimentally the Domatic Partition (DP) problem, the Independent Domatic Partition (IDP) problem and the Idomatic partition problem in Random Geometric Graphs (RG...
Dhia Mahjoub, Angelika Leskovskaya, David W. Matul...
DAGSTUHL
2007
15 years 7 months ago
Nonlinear Approximation and Image Representation using Wavelets
We address the problem of finding sparse wavelet representations of high-dimensional vectors. We present a lower-bounding technique and use it to develop an algorithm for computi...
Sudipto Guha, Boulos Harb
IOR
2008
104views more  IOR 2008»
15 years 6 months ago
Arrival Rate Approximation by Nonnegative Cubic Splines
Estimating the arrival rate function of a non-homogeneous Poisson process based on observed arrival data is a problem naturally arising in many applications. Cubic spline function...
Farid Alizadeh, Jonathan Eckstein, Nilay Noyan, G&...