Algebraic complexity theory studies the inherent difficulty of algebraic problems by quantifying the minimal amount of resources required to solve them. The most fundamental questions...
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Methods for Evaluating Interactive Information Retrieval Systems with Users provides a foundation on which those new to Interactive Information Retrieval (IIR) can make more informed...
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Monte Carlo Simulation for Econometricians presents the fundamentals of Monte Carlo simulation (MCS), pointing to opportunities not often utilized in current practice, especially with regards...
Online learning is a well established learning paradigm which has both theoretical and practical appeals. The goal of online learning is to make a sequence...
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Algebraic complexity theory studies the inherent difficulty of algebraic problems by quantifying the minimal amount of resources required to solve them. The most fundamental questions...
Behavioralizing Finance suggests that finance is moving to a new paradigm that combines structural features from neoclassical finance and realistic assumptions from behavioral finance. The...
Executive Compensation and Financial Accounting provides research perspectives on the interface between financial reporting and disclosure policies and executive compensation. In particular, it focuses on...
Experience Marketing examines a new and exciting concept that is of interest to academics and marketing practitioners who have come to realize that understanding how...
Factor Graphs for Robot Perception reviews the use of factor graphs for the modeling and solving of largescale inference problems in robotics. Factor graphs are...
Financial Statement Analysis and the Prediction of Financial Distress discusses the evolution of three main streams within the financial distress prediction literature: the set of...
The strategic organization of firms has long been a prominent issue in management. Research stressing the importance and ramifications of strategic considerations on firm organization...
Kernel methods are among the most popular techniques in machine learning. From a regularization theory perspective, they provide a natural choice for the hypotheses space...
Can machine learning deliver AI? Theoretical results, inspiration from the brain and cognition, as well as machine learning experiments suggest that in order to learn...
Lifelogging represents a phenomenon whereby people can digitally record their own daily lives in varying amounts of detail, for a variety of purposes. In a...
Methods for Evaluating Interactive Information Retrieval Systems with Users provides a foundation on which those new to Interactive Information Retrieval (IIR) can make more informed...
Modeling the Term Structure of Interest Rates provides a comprehensive review of the continuoustime modeling techniques of the term structure applicable to value and hedge...
Monte Carlo Simulation for Econometricians presents the fundamentals of Monte Carlo simulation (MCS), pointing to opportunities not often utilized in current practice, especially with regards...
Online learning is a well established learning paradigm which has both theoretical and practical appeals. The goal of online learning is to make a sequence...
Power Control in Wireless Cellular Networks provides a comprehensive survey of the models, algorithms, analysis, and methodologies in this vast and growing research area. It...
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