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ICML
2009
IEEE
14 years 9 months ago
Learning Markov logic network structure via hypergraph lifting
Markov logic networks (MLNs) combine logic and probability by attaching weights to first-order clauses, and viewing these as templates for features of Markov networks. Learning ML...
Stanley Kok, Pedro Domingos
KDD
2004
ACM
330views Data Mining» more  KDD 2004»
14 years 9 months ago
Learning to detect malicious executables in the wild
In this paper, we describe the development of a fielded application for detecting malicious executables in the wild. We gathered 1971 benign and 1651 malicious executables and enc...
Jeremy Z. Kolter, Marcus A. Maloof
SIGMOD
2003
ACM
239views Database» more  SIGMOD 2003»
14 years 8 months ago
D(k)-Index: An Adaptive Structural Summary for Graph-Structured Data
To facilitate queries over semi-structured data, various structural summaries have been proposed. Structural summaries are derived directly from the data and serve as indices for ...
Chen Qun, Andrew Lim, Kian Win Ong
MOBISYS
2003
ACM
14 years 8 months ago
An Entity Maintenance and Connection Service for Sensor Networks
In this paper, we present a middleware architecture for coordination services in sensor networks that facilitates interaction between groups of sensors which monitor different env...
Brian M. Blum, Prashant Nagaraddi, Anthony D. Wood...
HYPERTEXT
2009
ACM
14 years 5 months ago
A scalable, collaborative similarity measure for social annotation systems
Collaborative annotation tools are in widespread use. The metadata from these systems can be mined to induce semantic relationships among Web objects (sites, pages, tags, concepts...
Benjamin Markines, Filippo Menczer