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» Pruning Training Sets for Learning of Object Categories
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JUCS
2007
84views more  JUCS 2007»
13 years 9 months ago
Improving the Performance of a Tagger Generator in an Information Extraction Application
: In this paper we present an experience in the extraction of named entities from Spanish texts using stacking. Named Entity Extraction (NEE) is a subtask of Information Extraction...
José A. Troyano, Fernando Enríquez, ...
WSOM
2009
Springer
14 years 3 months ago
Bag-of-Features Codebook Generation by Self-Organisation
Bag of features is a well established technique for the visual categorisation of objects, categories of objects and textures. One of the most important part of this technique is co...
Teemu Kinnunen, Joni-Kristian Kämärä...
WWW
2011
ACM
13 years 4 months ago
Parallel boosted regression trees for web search ranking
Gradient Boosted Regression Trees (GBRT) are the current state-of-the-art learning paradigm for machine learned websearch ranking — a domain notorious for very large data sets. ...
Stephen Tyree, Kilian Q. Weinberger, Kunal Agrawal...
ICML
2007
IEEE
14 years 10 months ago
Pegasos: Primal Estimated sub-GrAdient SOlver for SVM
We describe and analyze a simple and effective iterative algorithm for solving the optimization problem cast by Support Vector Machines (SVM). Our method alternates between stocha...
Shai Shalev-Shwartz, Yoram Singer, Nathan Srebro
IJCAI
2007
13 years 10 months ago
A Fully Connectionist Model Generator for Covered First-Order Logic Programs
We present a fully connectionist system for the learning of first-order logic programs and the generation of corresponding models: Given a program and a set of training examples,...
Sebastian Bader, Pascal Hitzler, Steffen Höll...