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PR
2007
104views more  PR 2007»
13 years 9 months ago
Optimizing resources in model selection for support vector machine
Tuning SVM hyperparameters is an important step in achieving a high-performance learning machine. It is usually done by minimizing an estimate of generalization error based on the...
Mathias M. Adankon, Mohamed Cheriet
ATAL
2011
Springer
12 years 9 months ago
A model of norm emergence and innovation in language change
We analyze and extend a recently proposed model of linguistic diffusion in social networks, to analytically derive time to convergence, and to account for the innovation phase of...
Samarth Swarup, Andrea Apolloni, Zsuzsanna Fagyal
GLOBECOM
2007
IEEE
14 years 4 months ago
Initialization Techniques for Improved Convergence of LMS DFEs in Strong Interference Environments
— The least-mean square (LMS) decision-feedback equalizer (DFE) was previously shown [1], [2] to possess an extended convergence time in an interference limited environment. In [...
Arun Batra, James R. Zeidler, Aloysius A. Beex
FOCS
1994
IEEE
14 years 2 months ago
The Power of Team Exploration: Two Robots Can Learn Unlabeled Directed Graphs
We show that two cooperating robots can learn exactly any strongly-connected directed graph with n indistinguishable nodes in expected time polynomial in n. We introduce a new typ...
Michael A. Bender, Donna K. Slonim
SC
1994
ACM
14 years 1 months ago
Truly distribution-independent algorithms for the N-body problem
The N - body problem is to simulate the motion of N particles under the influence of mutual force fields based on an inverse square law. Greengard's algorithm claims to compu...
Srinivas Aluru, Gurpur M. Prabhu, John L. Gustafso...