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...
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...
Recent years have witnessed enormous progress in AIrelated fields such as computer vision, machine learning, and autonomous vehicles. As with any rapidly growing field, it...
Earnings Management, Conservatism, and Earnings Quality reviews and illustrates earnings management, conservatism, and their effects on earnings quality in an economic modeling framework. Both earnings...
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...
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...
In the 30 years since its inception, communication complexity has become a vital area of theoretical computer science. The applicability of communication complexity to other...
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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...
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...
Recent years have witnessed enormous progress in AIrelated fields such as computer vision, machine learning, and autonomous vehicles. As with any rapidly growing field, it...
Earnings Management, Conservatism, and Earnings Quality reviews and illustrates earnings management, conservatism, and their effects on earnings quality in an economic modeling framework. Both earnings...
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...
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...
In the 30 years since its inception, communication complexity has become a vital area of theoretical computer science. The applicability of communication complexity to other...
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