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» Multiagent learning using a variable learning rate
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CSIE
2009
IEEE
15 years 4 months ago
Building a General Purpose Cross-Domain Sentiment Mining Model
Building a model using machine learning that can classify the sentiment of natural language text often requires an extensive set of labeled training data from the same domain as t...
Matthew Whitehead, Larry Yaeger
ISDA
2009
IEEE
15 years 4 months ago
Evaluation Measures for Ordinal Regression
—Ordinal regression (OR – also known as ordinal classification) has received increasing attention in recent times, due to its importance in IR applications such as learning to...
Stefano Baccianella, Andrea Esuli, Fabrizio Sebast...
IH
2007
Springer
15 years 3 months ago
YASS: Yet Another Steganographic Scheme That Resists Blind Steganalysis
Abstract. A new, simple, approach for active steganography is proposed in this paper that can successfully resist recent blind steganalysis methods, in addition to surviving distor...
Kaushal Solanki, Anindya Sarkar, B. S. Manjunath
GECCO
2005
Springer
142views Optimization» more  GECCO 2005»
15 years 3 months ago
Genetic programming: parametric analysis of structure altering mutation techniques
We hypothesize that the relationship between parameter settings, speci cally parameters controlling mutation, and performance is non-linear in genetic programs. Genetic programmin...
Alan Piszcz, Terence Soule
MLMI
2005
Springer
15 years 3 months ago
The 2005 AMI System for the Transcription of Speech in Meetings
Abstract. In this paper we describe the 2005 AMI system for the transcription of speech in meetings used in the 2005 NIST RT evaluations. The system was designed for participation ...
Thomas Hain, Lukas Burget, John Dines, Giulia Gara...