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COLING
2010
10 years 8 months ago
Utilizing Variability of Time and Term Content, within and across Users in Session Detection
In this paper, we describe a SVM classification framework of session detection task on both Chinese and English query logs. With eight features on the aspects of temporal and cont...
Shu-Qi Sun, Sheng Li, Muyun Yang, Haoliang Qi, Tie...
DIS
2009
Springer
10 years 11 months ago
Player Modeling for Intelligent Difficulty Adjustment
In this paper we aim at automatically adjusting the difficulty of computer games by clustering players into different types and supervised prediction of the type from short traces ...
Olana Missura, Thomas Gärtner
ICPR
2010
IEEE
10 years 11 months ago
Enhancing Web Page Classification via Local Co-training
Abstract--In this paper we propose a new multi-view semisupervised learning algorithm called Local Co-Training (LCT). The proposed algorithm employs a set of local models with vect...
Youtian Du, Xiaohong Guan, Zhongmin Cai
TSMC
2008
110views more  TSMC 2008»
11 years 1 months ago
Bridging Global and Local Models of Service-Oriented Systems
Abstract-- A service-oriented system is a collection of independent services that interact with one another through message exchanges. Languages such as the Web Services Descriptio...
Johannes Maria Zaha, Marlon Dumas, Arthur H. M. te...
NN
2006
Springer
114views Neural Networks» more  NN 2006»
11 years 1 months ago
Modular learning models in forecasting natural phenomena
Modular model is a particular type of committee machine and is comprised of a set of specialized (local) models each of which is responsible for a particular region of the input s...
Dimitri P. Solomatine, Michael Baskara L. A. Siek
NIPS
2008
11 years 2 months ago
Simple Local Models for Complex Dynamical Systems
We present a novel mathematical formalism for the idea of a "local model" of an uncontrolled dynamical system, a model that makes only certain predictions in only certai...
Erik Talvitie, Satinder Singh
ESANN
2008
11 years 2 months ago
Interpretable ensembles of local models for safety-related applications
Abstract. This paper discusses a machine learning approach for binary classification problems which satisfies the specific requirements of safety-related applications. The approach...
Sebastian Nusser, Clemens Otte, Werner Hauptmann
FLAIRS
2007
11 years 3 months ago
Mining Sequences in Distributed Sensors Data for Energy Production
The desire to predict power generation at a given point in time is essential to power scheduling, energy trading, and availability modeling. The research conducted within is conce...
Mehmed M. Kantardzic, John Gant
GECCO
2007
Springer
144views Optimization» more  GECCO 2007»
11 years 5 months ago
Mixing independent classifiers
In this study we deal with the mixing problem, which concerns combining the prediction of independently trained local models to form a global prediction. We deal with it from the ...
Jan Drugowitsch, Alwyn Barry
HYBRID
2003
Springer
11 years 6 months ago
Qualitative Heterogeneous Control of Higher Order Systems
This paper presents the qualitative heterogeneous control framework, a methodology for the design of a controlled hybrid system based on attractors and transitions between them. Th...
Subramanian Ramamoorthy, Benjamin Kuipers
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