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Related lectures (30)
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Learning from Probabilistic Models
Delves into challenges of learning from probabilistic models, covering computational complexity, data reconstruction, and statistical gaps.
Distributed Intelligent Systems: Division of Labor and Multi-Robot Coordination
Explores division of labor in natural systems, multi-robot coordination, and the challenges of uncertainty in market-based algorithms.
System-R Optimizer: Query Optimization and Cost Estimation
Explores the System-R Optimizer, query optimization, cost estimation, join orderings, and cardinality challenges in database systems.
Irrational beliefs: sociological and psychological perspectives
Explores the reasons behind our susceptibility to irrational beliefs and the impact of sociological and psychological factors on our beliefs.
Search Algorithms: Abductive Reasoning
Covers search algorithms, focusing on abductive reasoning and heuristic search strategies.
Optimization and Simulation: Simulated Annealing
Explores simulated annealing for optimization, emphasizing parameter tuning and diversification to escape local minima.
Weighted Least Squares Estimation: IRLS Algorithm
Explores the IRLS algorithm for weighted least squares estimation in GLM.
Optimization Methods: Theory Discussion
Explores optimization methods, including unconstrained problems, linear programming, and heuristic approaches.
Deliberative Agents: Planning and Strategies
Covers planning with adversaries, heuristic search algorithms, and strategies for games with chance, emphasizing the significance of deliberative agents.
Optimization and Simulation
Explores transformations into single-objective functions, lexicographic rules, and constrained optimization in optimization and simulation.
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