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» Incremental Dependency Parsing Using Online Learning
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ML
2007
ACM
131views Machine Learning» more  ML 2007»
13 years 7 months ago
A primal-dual perspective of online learning algorithms
We describe a novel framework for the design and analysis of online learning algorithms based on the notion of duality in constrained optimization. We cast a sub-family of universa...
Shai Shalev-Shwartz, Yoram Singer
ICAPR
2009
Springer
13 years 5 months ago
Online Improved Eigen Tracking
We present a novel predictive statistical framework to improve the performance of an Eigen Tracker which uses fast and efficient eigen space updates to learn new views of the obje...
Subarna Tripathi, Santanu Chaudhury, Sumantra Dutt...
ACL
2006
13 years 9 months ago
Trimming CFG Parse Trees for Sentence Compression Using Machine Learning Approaches
Sentence compression is a task of creating a short grammatical sentence by removing extraneous words or phrases from an original sentence while preserving its meaning. Existing me...
Yuya Unno, Takashi Ninomiya, Yusuke Miyao, Jun-ich...
PLDI
1997
ACM
13 years 11 months ago
Incremental Analysis of real Programming Languages
A major research goal for compilers and environments is the automatic derivation of tools from formal specifications. However, the formal model of the language is often inadequat...
Tim A. Wagner, Susan L. Graham
ICRA
2002
IEEE
110views Robotics» more  ICRA 2002»
14 years 16 days ago
Mobile Robot Localization using an Incremental Eigenspace Model
— When using appearance-based recognition for self-localization of mobile robots, the images obtained during the exploration of the environment need to be efficiently stored in t...
Matej Artac, Matjaz Jogan, Ales Leonardis