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CIKM
2005
Springer
14 years 1 months ago
A hybrid approach to NER by MEMM and manual rules
This paper describes a framework for defining domain specific Feature Functions in a user friendly form to be used in a Maximum Entropy Markov Model (MEMM) for the Named Entity Re...
Moshe Fresko, Binyamin Rosenfeld, Ronen Feldman
ISBI
2008
IEEE
14 years 8 months ago
Invariant 3D spharm features for characterizing fMRI activations in ROIs while minimizing effects of intersubject anatomical var
Spatial patterns of activation statistics within anatomically-defined regions of interest (ROIs) in functional magnetic resonance imaging (fMRI) data were recently shown to be sen...
Ashish Uthama, Rafeef Abugharbieh, Samantha J. Pal...
LREC
2010
173views Education» more  LREC 2010»
13 years 9 months ago
Language Modeling Approach for Retrieving Passages in Lecture Audio Data
Spoken Document Retrieval (SDR) is a promising technology for enhancing the utility of spoken materials. After the spoken documents have been transcribed by using a Large Vocabula...
Koichiro Honda, Tomoyosi Akiba
ESANN
2003
13 years 9 months ago
Mathematical Aspects of Neural Networks
In this tutorial paper about mathematical aspects of neural networks, we will focus on two directions: on the one hand, we will motivate standard mathematical questions and well st...
Barbara Hammer, Thomas Villmann
COLT
2008
Springer
13 years 9 months ago
On the Equivalence of Weak Learnability and Linear Separability: New Relaxations and Efficient Boosting Algorithms
Boosting algorithms build highly accurate prediction mechanisms from a collection of lowaccuracy predictors. To do so, they employ the notion of weak-learnability. The starting po...
Shai Shalev-Shwartz, Yoram Singer