Keyword: learning

Found 506 papers in total
Sequential Selection with Unknown Correlation Structures
Sequential Selection with Unknown Correlation Structures
2015,
We create the first computationally tractable Bayesian statistical model for learning...
Dynamic Pricing and Learning with Finite Inventories
Dynamic Pricing and Learning with Finite Inventories
2015,
We study a dynamic pricing problem with finite inventory and parametric uncertainty on...
Learning in Games via Reinforcement and Regularization
Learning in Games via Reinforcement and Regularization
2016,
We investigate a class of reinforcement learning dynamics where players adjust their...
Reinforcement Learning in Robust Markov Decision Processes
Reinforcement Learning in Robust Markov Decision Processes
2016,
An important challenge in Markov decision processes (MDP) is to ensure robustness with...
A new heuristic for learning Bayesian networks from limited datasets: a real-time recommendation system application with RFID systems in grocery stores
A new heuristic for learning Bayesian networks from limited datasets: a real-time recommendation system application with RFID systems in grocery stores
2016,
Bayesian networks (BNs) are a useful tool for applications where dynamic...
The potential of learning from erroneous models: comparing three types of model instruction
The potential of learning from erroneous models: comparing three types of model instruction
2015,
Learning from computer models is a promising approach to learning. This study...
Establishing an Evolutionary Learning Laboratory for Improving the Quality of Life of Vietnamese Women in Small-scale Agriculture: Part I–The Current Situation
Establishing an Evolutionary Learning Laboratory for Improving the Quality of Life of Vietnamese Women in Small-scale Agriculture: Part I–The Current Situation
2016,
The study was carried out in Haiphong, a typical lowland area of the Red River Delta...
Airline Safety Improvement Through Experience with Near-Misses: A Cautionary Tale
Airline Safety Improvement Through Experience with Near-Misses: A Cautionary Tale
2016,
In recent years, the U.S. commercial airline industry has achieved unprecedented...
Lot sizing with learning and forgetting in setups: Analytical results and insights
Lot sizing with learning and forgetting in setups: Analytical results and insights
2016,
This article considers the dynamic lot sizing problem when there is learning and...
What we can learn from conflicts in propositional satisfiability
What we can learn from conflicts in propositional satisfiability
2016,
Learning is a general concept, playing an important role in many Artificial...
A group of knowledge-incorporated multiple criteria linear programming classifiers
A group of knowledge-incorporated multiple criteria linear programming classifiers
2011,
Classification is a main data mining task, which aims at predicting the class label of...
Using Spreadsheet Modeling to Teach Exchange Curves (Optimal Policy Curves) in Inventory Management
Using Spreadsheet Modeling to Teach Exchange Curves (Optimal Policy Curves) in Inventory Management
2016,
Inventory management is widely researched and the topic is taught in business programs...
Missing Value Imputation with Unsupervised Backpropagation
Missing Value Imputation with Unsupervised Backpropagation
2016,
Many data mining and data analysis techniques operate on dense matrices or complete...
A Comparative Evaluation of Curriculum Learning with Filtering and Boosting in Supervised Classification Problems
A Comparative Evaluation of Curriculum Learning with Filtering and Boosting in Supervised Classification Problems
2016,
Not all instances in a data set are equally beneficial for inferring a model of the...
Investment in Shared Suppliers: Effect of Learning, Spillover, and Competition
Investment in Shared Suppliers: Effect of Learning, Spillover, and Competition
2016,
We investigate the optimal strategies for firms to invest in their suppliers when the...
Finite-horizon near optimal adaptive control of uncertain linear discrete-time systems
Finite-horizon near optimal adaptive control of uncertain linear discrete-time systems
2015,
In this paper, the finite‐horizon near optimal adaptive regulation of linear...
Learning Hierarchical Task Models from Input Traces
Learning Hierarchical Task Models from Input Traces
2016,
We describe HTN‐MAKER, an algorithm for learning hierarchical planning...
A MapReduce-based distributed SVM algorithm for automatic image annotation
A MapReduce-based distributed SVM algorithm for automatic image annotation
2011,
Machine learning techniques have facilitated image retrieval by automatically...
Exponential H∞ stable learning method for Takagi‐Sugeno fuzzy delayed neural networks: A convex optimization approach
Exponential H∞ stable learning method for Takagi‐Sugeno fuzzy delayed neural networks: A convex optimization approach
2012,
In this paper, we propose some new results on stability for Takagi–Sugeno fuzzy...
Learning banks' exposure to systematic risk: evidence from the financial crisis of 2008
Learning banks' exposure to systematic risk: evidence from the financial crisis of 2008
2014,
Using a two‐state Markov regime‐switching intertemporal capital asset...
Chaotic dynamics and convergence analysis of temporal difference algorithms with bang-bang control
Chaotic dynamics and convergence analysis of temporal difference algorithms with bang-bang control
2016,
Reinforcement learning is a powerful tool used to obtain optimal control solutions for...
Learning organization modelling patterns
Learning organization modelling patterns
2016,
In a continuously changing external environment the learning organization can provide...
Knowledge transfer and the learning process in Spanish wineries
Knowledge transfer and the learning process in Spanish wineries
2016,
Nowadays, knowledge transfer and creation are considered essential tools that...
Absorptive capacity: a non-linear process
Absorptive capacity: a non-linear process
2016,
Since the Cohen and Levinthal article on absorptive capacity was published, ‘the...
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