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CAMP
2005
IEEE
14 years 1 months ago
Reinforcement Learning for P2P Searching
— For a peer-to-peer (P2P) system holding massive amount of data, an efficient and scalable search for resource sharing is a key determinant to its practical usage. Unstructured...
Luca Gatani, Giuseppe Lo Re, Alfonso Urso, Salvato...
BMCBI
2008
103views more  BMCBI 2008»
13 years 8 months ago
Discovering multi-level structures in bio-molecular data through the Bernstein inequality
Background: The unsupervised discovery of structures (i.e. clusterings) underlying data is a central issue in several branches of bioinformatics. Methods based on the concept of s...
Alberto Bertoni, Giorgio Valentini
CORR
2008
Springer
121views Education» more  CORR 2008»
13 years 8 months ago
The Forgiving Tree: A Self-Healing Distributed Data Structure
We consider the problem of self-healing in peer-to-peer networks that are under repeated attack by an omniscient adversary. We assume that the following process continues for up t...
Tom Hayes, Navin Rustagi, Jared Saia, Amitabh Treh...
ESOP
2009
Springer
14 years 2 months ago
Amortised Memory Analysis Using the Depth of Data Structures
Hofmann and Jost have presented a heap space analysis [1] that finds linear space bounds for many functional programs. It uses an amortised analysis: assigning hypothetical amount...
Brian Campbell
GMP
2006
IEEE
102views Solid Modeling» more  GMP 2006»
14 years 2 months ago
Representing Topological Structures Using Cell-Chains
Abstract. A new topological representation of surfaces in higher dimensions, “cell-chains” is developed. The representation is a generalization of Brisson’s cell-tuple data s...
David E. Cardoze, Gary L. Miller, Todd Phillips