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GFKL
2006
Springer
108views Data Mining» more  GFKL 2006»
15 years 10 months ago
Identifying and Exploiting Ultrametricity
We begin with pervasive ultrametricity due to high dimensionality and/or spatial sparsity. How extent or degree of ultrametricity can be quantified leads us to the discussion of va...
Fionn Murtagh
AICT
2006
IEEE
130views Communications» more  AICT 2006»
15 years 8 months ago
A Search Theoretical Approach to P2P Networks: Analysis of Learning
One of the main characteristics of the peer-to-peer systems is the highly dynamic nature of the users present in the system. In such a rapidly changing enviroment, end-user guaran...
Nazif Cihan Tas, Bedri Kamil Onur Tas
AMT
2006
Springer
108views Multimedia» more  AMT 2006»
15 years 8 months ago
Efficient Frequent Itemsets Mining by Sampling
As the first stage for discovering association rules, frequent itemsets mining is an important challenging task for large databases. Sampling provides an efficient way to get appro...
Yanchang Zhao, Chengqi Zhang, Shichao Zhang
DAGSTUHL
2007
15 years 8 months ago
A Collision-Resistant Rate-1 Double-Block-Length Hash Function
This paper proposes a construction for collision resistant 2n-bit hash functions, based on n-bit block ciphers with 2n-bit keys. The construction is analysed in the ideal cipher mo...
Stefan Lucks
166
Voted
AAAI
2006
15 years 8 months ago
Fast Hierarchical Goal Schema Recognition
We present our work on using statistical, corpus-based machine learning techniques to simultaneously recognize an agent's current goal schemas at various levels of a hierarch...
Nate Blaylock, James F. Allen