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ICML
2010
IEEE
15 years 2 months ago
Learning Markov Logic Networks Using Structural Motifs
Markov logic networks (MLNs) use firstorder formulas to define features of Markov networks. Current MLN structure learners can only learn short clauses (4-5 literals) due to extre...
Stanley Kok, Pedro Domingos
101
Voted
CN
2007
137views more  CN 2007»
15 years 1 months ago
Georoy: A location-aware enhancement to Viceroy peer-to-peer algorithm
The success of experiences such as Seattle and Houston Wireless has attracted the attention on the so called wireless mesh community networks. These are wireless multihop networks...
Laura Galluccio, Giacomo Morabito, Sergio Palazzo,...
AI
2005
Springer
15 years 1 months ago
Constraint-based reasoning and privacy/efficiency tradeoffs in multi-agent problem solving
Because of privacy concerns, agents may not want to reveal information that could be of use in problem solving. As a result, there are potentially important tradeoffs between main...
Richard J. Wallace, Eugene C. Freuder
JCST
2007
97views more  JCST 2007»
15 years 1 months ago
Improved Collision Attack on Hash Function MD5
In this paper, we present a fast attack algorithm to find two-block collision of hash function MD5. The algorithm is based on the two-block collision differential path of MD5 that ...
Jie Liang, Xue-Jia Lai
CIKM
2010
Springer
15 years 6 days ago
Fast query expansion using approximations of relevance models
Pseudo-relevance feedback (PRF) improves search quality by expanding the query using terms from high-ranking documents from an initial retrieval. Although PRF can often result in ...
Marc-Allen Cartright, James Allan, Victor Lavrenko...