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» Inferring Knowledge from a Large Semantic Network
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AAAI
1998
15 years 5 months ago
Probabilistic Frame-Based Systems
Two of the most important threads of work in knowledge representation today are frame-based representation systems (FRS's) and Bayesian networks (BNs). FRS's provide an ...
Daphne Koller, Avi Pfeffer
ICML
2009
IEEE
16 years 5 months ago
Learning dictionaries of stable autoregressive models for audio scene analysis
In this paper, we explore an application of basis pursuit to audio scene analysis. The goal of our work is to detect when certain sounds are present in a mixed audio signal. We fo...
Youngmin Cho, Lawrence K. Saul
ALGOSENSORS
2010
Springer
15 years 3 months ago
From Key Predistribution to Key Redistribution
One of crucial disadvantages of key predistribution schemes for ad hoc networks is that if devices A and B use a shared key K to determine their session keys, then any adversarial...
Jacek Cichon, Zbigniew Golebiewski, Miroslaw Kutyl...
SDM
2009
SIAM
192views Data Mining» more  SDM 2009»
16 years 1 months ago
Mining Cohesive Patterns from Graphs with Feature Vectors.
The increasing availability of network data is creating a great potential for knowledge discovery from graph data. In many applications, feature vectors are given in addition to g...
Arash Rafiey, Flavia Moser, Martin Ester, Recep Co...
WWW
2009
ACM
16 years 4 months ago
To join or not to join: the illusion of privacy in social networks with mixed public and private user profiles
In order to address privacy concerns, many social media websites allow users to hide their personal profiles from the public. In this work, we show how an adversary can exploit an...
Elena Zheleva, Lise Getoor