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JMLR
2002
111views more  JMLR 2002»
13 years 8 months ago
The Learning-Curve Sampling Method Applied to Model-Based Clustering
We examine the learning-curve sampling method, an approach for applying machinelearning algorithms to large data sets. The approach is based on the observation that the computatio...
Christopher Meek, Bo Thiesson, David Heckerman
JCB
1998
129views more  JCB 1998»
13 years 8 months ago
A Sticker-Based Model for DNA Computation
We introduce a new model of molecular computation that we call the sticker model. Like many previous proposals it makes use of DNA strands as the physical substrate in which infor...
Sam T. Roweis, Erik Winfree, Richard Burgoyne, Nic...
DAM
1999
114views more  DAM 1999»
13 years 8 months ago
Perfect and Almost Perfect Sequences
The autocorrelation function of a sequence is a measure for how much the given sequence di ers from its translates. Periodic binary sequences with good correlation properties have...
Dieter Jungnickel, Alexander Pott
MOC
2002
118views more  MOC 2002»
13 years 8 months ago
The error bounds and tractability of quasi-Monte Carlo algorithms in infinite dimension
Dimensionally unbounded problems are frequently encountered in practice, such as in simulations of stochastic processes, in particle and light transport problems and in the problem...
Fred J. Hickernell, Xiaoqun Wang
LOGCOM
1998
80views more  LOGCOM 1998»
13 years 8 months ago
Occurrences and Narratives as Constraints in the Branching Structure of the Situation Calculus
The Situation Calculus is a logic of time and change in which there is a distinguished initial situation ¡£¢ and all other situations arise from the different sequences of acti...
Javier Pinto
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