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AND
2009
13 years 6 months ago
Discovering voter preferences in blogs using mixtures of topic models
In this paper we propose a new approach to capture the inclination towards a certain election candidate from the contents of blogs and to explain why that inclination may be so. T...
Pradipto Das, Rohini K. Srihari, Smruthi Mukund
ATAL
2008
Springer
13 years 10 months ago
Agent-based models for animal cognition: a proposal and prototype
Animal ecologists have successfully applied agent-based models to many different problems. Often, these focus on issues concerning collective behaviors, environmental interactions...
Elske van der Vaart, Rineke Verbrugge
CORR
2002
Springer
98views Education» more  CORR 2002»
13 years 8 months ago
An Empirical Model for Volatility of Returns and Option Pricing
In a seminal paper in 1973, Black and Scholes argued how expected distributions of stock prices can be used to price options. Their model assumed a directed random motion for the ...
Joseph L. McCauley, Gemunu H. Gunaratne
ML
2010
ACM
127views Machine Learning» more  ML 2010»
13 years 7 months ago
Stability and model selection in k-means clustering
Abstract Clustering Stability methods are a family of widely used model selection techniques for data clustering. Their unifying theme is that an appropriate model should result in...
Ohad Shamir, Naftali Tishby
JMLR
2011
111views more  JMLR 2011»
13 years 3 months ago
Models of Cooperative Teaching and Learning
While most supervised machine learning models assume that training examples are sampled at random or adversarially, this article is concerned with models of learning from a cooper...
Sandra Zilles, Steffen Lange, Robert Holte, Martin...