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IJCAI
2007
13 years 9 months ago
Maximum Margin Coresets for Active and Noise Tolerant Learning
We study the problem of learning large margin halfspaces in various settings using coresets to show that coresets are a widely applicable tool for large margin learning. A large m...
Sariel Har-Peled, Dan Roth, Dav Zimak
DAGM
2008
Springer
13 years 9 months ago
Approximate Parameter Learning in Conditional Random Fields: An Empirical Investigation
We investigate maximum likelihood parameter learning in Conditional Random Fields (CRF) and present an empirical study of pseudo-likelihood (PL) based approximations of the paramet...
Filip Korc, Wolfgang Förstner
TNN
2008
82views more  TNN 2008»
13 years 7 months ago
Deterministic Learning for Maximum-Likelihood Estimation Through Neural Networks
In this paper, a general method for the numerical solution of maximum-likelihood estimation (MLE) problems is presented; it adopts the deterministic learning (DL) approach to find ...
Cristiano Cervellera, Danilo Macciò, Marco ...
IPL
2011
73views more  IPL 2011»
13 years 2 months ago
Maximum subset intersection
Consider the following problem. Given n sets of sets A1, . . . , Au with elements over a universe E = {e1, . . . , en}, the goal is to select exactly one set from each of A1, . . ...
Raphaël Clifford, Alexandru Popa
CIDR
2003
134views Algorithms» more  CIDR 2003»
13 years 9 months ago
Approximate Range Selection Queries in Peer-to-Peer Systems
We present an architecture for a data sharing peer-to-peer system where the data is shared in the form of database relations. In general, peer-to-peer systems try to locate exactm...
Abhishek Gupta, Divyakant Agrawal, Amr El Abbadi