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Resource Availability Awareness and Data Utility: The Foundation For A DSS Framework In A Pervasive Computing Environment

Russell, Stephen - 2008

, wavelets, and instant messaging as a comprehensive decision support solution to address data utility and resource availability …

Persistent link: https://www.econbiz.de/10009439429

A Wavelet-Based Analysis of Commodity Futures Markets

Power, Gabriel - 2007

The time horizon of decision-making is an essential dimension of economic problemsbut is difficult to explicitly define. In this thesis, we use time series analysisaugmented by wavelet transform methods to precisely identify distinct time horizonsin economic data and measure their explanatory...

Persistent link: https://www.econbiz.de/10009466260

Do Regional Integration Agreements Increase Business-Cycle Convergence? Evidence From APEC and NAFTA

Fernandez, Viviana; Kutan, Ali M. - 2005

Using monthly industrial sector data from January 1971 to March 2004, we test for business cycles convergence among the major APEC members: Japan, South Korea, Malaysia, Mexico, USA, and Canada. In addition, we examine the synchronization of business cycles among Australia, Japan, and South...

Persistent link: https://www.econbiz.de/10009477142

Wavelets/multiwavelets bases and correspondence estimation problem : an analytic study

Bhatti, Asim; Nahavandi, Saeid; Hossny, Mohammed - 2010

employed medium for multiresolution analysis is wavelets and multiwavelets bases, however, relatively little work has been …. Proposed algorithm uses multiresolution analysis enforced with wavelets/multiwavelts transform modulus maxima to establish … correspondences between the stereo pair of images. Variety of wavelets and multiwavelets bases, possessing distinct properties such as …

Persistent link: https://www.econbiz.de/10009483981

Large-Scale Pattern-Based Information Extraction from the World Wide Web

Blohm, Sebastian - 2010

Extracting information from text is the task of obtaining structured, machineprocessable facts from information that is mentioned in an unstructured manner.It thus allows systems to automatically aggregate information for further analysis, efficient retrieval, automatic validation, or...

Persistent link: https://www.econbiz.de/10009434402

Large-Scale Pattern-Based Information Extraction from the World Wide Web

Blohm, Sebastian - 2010

Extracting information from text is the task of obtaining structured, machine-processable facts from information that is mentioned in an unstructured manner. It thus allows systems to automatically aggregate information for further analysis, efficient retrieval, automatic validation, or...

Persistent link: https://www.econbiz.de/10009434589

Discover Interesting Patterns for Investment Decision Making with GLOWER- A Genetic Learner Overlaid With Entropy Reduction

Dhar, Vasant; Chou, Dashin; Provost, Foster - 2008

Prediction in financial domains is notoriously difficult for a number ofreasons. First, theories tend to be weak or non-existent, which makesproblem formulation open ended by forcing us to consider a large numberof independent variables and thereby increasing the dimensionality ofthe search...

Persistent link: https://www.econbiz.de/10009435041

Economical Active Feature-value Acquisition through Expected Utility Estimation

Melville, Prem; Saar-Tsechansky, Maytal; Mooney, Raymond; … - 2005

In many classification tasks training data have missing feature valuesthat can be acquired at a cost. For building accurate predictive models,acquiring all missing values is often prohibitively expensive orunnecessary, while acquiring a random subset of feature values may notbe most effective....

Persistent link: https://www.econbiz.de/10009435054

Modeling Purposeful Adaptive Behavior with the Principle of Maximum Causal Entropy

Ziebart, Brian D. - 2010

Predicting human behavior from a small amount of training examples is a challenging machine learning problem. In this thesis, we introduce the principle of maximum causal entropy, a general technique for applying information theory to decision-theoretic, game-theoretic, and control settings...

Persistent link: https://www.econbiz.de/10009441102

Novel Computationally Intelligent Machine Learning Algorithms for Data Mining and Knowledge Discovery

Gheyas, Iffat A. - 2009

This thesis addresses three major issues in data mining regarding feature subset selection in large dimensionality domains, plausible reconstruction of incomplete data in cross-sectional applications, and forecasting univariate time series. For the automated selection of an optimal subset of...

Persistent link: https://www.econbiz.de/10009465839