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» Brain Complexity: Analysis, Models and Limits of Understandi...
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STOC
2004
ACM
145views Algorithms» more  STOC 2004»
14 years 8 months ago
Using mixture models for collaborative filtering
A collaborative filtering system at an e-commerce site or similar service uses data about aggregate user behavior to make recommendations tailored to specific user interests. We d...
Jon M. Kleinberg, Mark Sandler
JCNS
2011
87views more  JCNS 2011»
13 years 2 months ago
Information-geometric measure of 3-neuron firing patterns characterizes scale-dependence in cortical networks
To understand the functional connectivity of neural networks, it is important to develop simple and incisive descriptors of multineuronal firing patterns. Analysis at the pairwise...
Ifije E. Ohiorhenuan, Jonathan D. Victor
ICISC
2009
169views Cryptology» more  ICISC 2009»
13 years 5 months ago
Generic One Round Group Key Exchange in the Standard Model
Minimizing complexity of group key exchange (GKE) protocols is an important milestone towards their practical deployment. An interesting approach to achieve this goal is to simplif...
M. Choudary Gorantla, Colin Boyd, Juan Manuel Gonz...
RTSS
2009
IEEE
14 years 2 months ago
Impact of Data Fusion on Real-Time Detection in Sensor Networks
—Real-time detection is an important requirement of many mission-critical wireless sensor network applications such as battlefield monitoring and security surveillance. Due to t...
Rui Tan, Guoliang Xing, Benyuan Liu, Jianping Wang
BMCBI
2006
130views more  BMCBI 2006»
13 years 7 months ago
An accurate and interpretable model for siRNA efficacy prediction
Background: The use of exogenous small interfering RNAs (siRNAs) for gene silencing has quickly become a widespread molecular tool providing a powerful means for gene functional s...
Jean-Philippe Vert, Nicolas Foveau, Christian Laja...