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ICC
2000
IEEE
14 years 1 months ago
A Framework for the Analysis of Adaptive Voice over IP
— In this paper, we present a framework for the analysis of a set of adaptive variable-bit-rate voice sources in a packet network. The instantaneous bit rate of each source is de...
Claudio Casetti, J. C. De Martin, Michela Meo
KDD
2010
ACM
224views Data Mining» more  KDD 2010»
14 years 1 months ago
Multi-label learning by exploiting label dependency
In multi-label learning, each training example is associated with a set of labels and the task is to predict the proper label set for the unseen example. Due to the tremendous (ex...
Min-Ling Zhang, Kun Zhang
GECCO
2007
Springer
182views Optimization» more  GECCO 2007»
14 years 1 months ago
Stochastic training of a biologically plausible spino-neuromuscular system model
A primary goal of evolutionary robotics is to create systems that are as robust and adaptive as the human body. Moving toward this goal often involves training control systems tha...
Stanley Phillips Gotshall, Terence Soule
ATAL
2006
Springer
14 years 1 months ago
Learning a common language through an emergent interaction topology
We study the effects of various emergent topologies of interaction on the rate of language convergence in a population of communicating agents. The agents generate, parse, and lea...
Samarth Swarup, Kiran Lakkaraju, Les Gasser
NIPS
2008
13 years 10 months ago
Mixed Membership Stochastic Blockmodels
Consider data consisting of pairwise measurements, such as presence or absence of links between pairs of objects. These data arise, for instance, in the analysis of protein intera...
Edoardo Airoldi, David M. Blei, Stephen E. Fienber...