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IJCAI
2007
15 years 4 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
15 years 4 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»
15 years 3 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»
14 years 10 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»
15 years 4 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