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» A Value Theory of Meta-Learning Algorithms
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WWW
2005
ACM
16 years 14 days ago
PageRank as a function of the damping factor
PageRank is defined as the stationary state of a Markov chain. The chain is obtained by perturbing the transition matrix induced by a web graph with a damping factor that spreads...
Paolo Boldi, Massimo Santini, Sebastiano Vigna
GECCO
2009
Springer
100views Optimization» more  GECCO 2009»
15 years 6 months ago
Partial neighborhoods of elementary landscapes
This paper introduces a new component based model that makes it relatively simple to prove that certain types of landscapes are elementary. We use the model to reconstruct proofs ...
L. Darrell Whitley, Andrew M. Sutton
ATAL
2007
Springer
15 years 6 months ago
On opportunistic techniques for solving decentralized Markov decision processes with temporal constraints
Decentralized Markov Decision Processes (DEC-MDPs) are a popular model of agent-coordination problems in domains with uncertainty and time constraints but very difficult to solve...
Janusz Marecki, Milind Tambe
CIKM
2008
Springer
15 years 1 months ago
On low dimensional random projections and similarity search
Random projection (RP) is a common technique for dimensionality reduction under L2 norm for which many significant space embedding results have been demonstrated. However, many si...
Yu-En Lu, Pietro Liò, Steven Hand
SIGMOD
2007
ACM
121views Database» more  SIGMOD 2007»
15 years 12 months ago
EaseDB: a cache-oblivious in-memory query processor
We propose to demonstrate EaseDB, the first cache-oblivious query processor for in-memory relational query processing. The cacheoblivious notion from the theory community refers t...
Bingsheng He, Yinan Li, Qiong Luo, Dongqing Yang