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» Randomness and Universal Machines
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73
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CIE
2005
Springer
15 years 6 months ago
Schnorr Dimension
Following Lutz’s approach to effective (constructive) dimension, we define a notion of dimension for individual sequences based on Schnorr’s concept(s) of randomness. In contr...
Rodney G. Downey, Wolfgang Merkle, Jan Reimann
124
Voted
ICML
2008
IEEE
16 years 1 months ago
Fast incremental proximity search in large graphs
In this paper we investigate two aspects of ranking problems on large graphs. First, we augment the deterministic pruning algorithm in Sarkar and Moore (2007) with sampling techni...
Purnamrita Sarkar, Andrew W. Moore, Amit Prakash
90
Voted
ICML
2004
IEEE
16 years 1 months ago
SVM-based generalized multiple-instance learning via approximate box counting
The multiple-instance learning (MIL) model has been very successful in application areas such as drug discovery and content-based imageretrieval. Recently, a generalization of thi...
Qingping Tao, Stephen D. Scott, N. V. Vinodchandra...
97
Voted
NIPS
2008
15 years 2 months ago
Human Active Learning
We investigate a topic at the interface of machine learning and cognitive science. Human active learning, where learners can actively query the world for information, is contraste...
Rui M. Castro, Charles Kalish, Robert Nowak, Ruich...
104
Voted
IPPS
2010
IEEE
14 years 10 months ago
A PRAM-NUMA model of computation for addressing low-TLP workloads
It is possible to implement the parallel random access machine (PRAM) on a chip multiprocessor (CMP) efficiently with an emulated shared memory (ESM) architecture to gain easy par...
Martti Forsell