Description

Book Synopsis

.- A Model for Optimizing Recalculation Schedules to Minimize Regret.
.- A Theory of Learning with Competing Objectives and User Feedback.
.- Trick Costs for $alphamu$ and New Relatives.
.- A Differential Approach for Several NP-hard Optimization Problems.
.- On the Computational Complexities of Finding Selected Refutations of Linear Programs.
.- Extending the Tractability of the Clique Problem via Graph Classes Generalizing Treewidth.
.- Principled Approaches for Learning to Defer with Multiple Experts.
.- On Sample Reuse Methods for Answering $k$-wise Statistical Queries.
.- Neural Diffusion Graph Convolutional Network for Predicting Heat Transfer in Selective Laser Melting.
.- New Proportion Measures of Discrimination Based on Natural Direct and Indirect Effects.
.- Addressing Discretization Artifacts in Tomography by Accessing and Balancing Pixel Coverage of Projections.
.- Finding the Straight Skeleton for 3D Orthogonal Polyhedrons: A Combinatorial Approach.
.- Towards a Unifying View on Monotone Constructive Definitions.
.- Partial Boolean Functions for QBF Semantics.

Artificial Intelligence and Image Analysis

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    A Paperback by Reneta P. Barneva

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      Publisher: Springer
      Publication Date: Publication Date: 7/23/2024
      ISBN13: 9783031637346, 978-3031637346
      ISBN10: 3031637348
      Also in:
      Computer vision

      Description

      Book Synopsis

      .- A Model for Optimizing Recalculation Schedules to Minimize Regret.
      .- A Theory of Learning with Competing Objectives and User Feedback.
      .- Trick Costs for $alphamu$ and New Relatives.
      .- A Differential Approach for Several NP-hard Optimization Problems.
      .- On the Computational Complexities of Finding Selected Refutations of Linear Programs.
      .- Extending the Tractability of the Clique Problem via Graph Classes Generalizing Treewidth.
      .- Principled Approaches for Learning to Defer with Multiple Experts.
      .- On Sample Reuse Methods for Answering $k$-wise Statistical Queries.
      .- Neural Diffusion Graph Convolutional Network for Predicting Heat Transfer in Selective Laser Melting.
      .- New Proportion Measures of Discrimination Based on Natural Direct and Indirect Effects.
      .- Addressing Discretization Artifacts in Tomography by Accessing and Balancing Pixel Coverage of Projections.
      .- Finding the Straight Skeleton for 3D Orthogonal Polyhedrons: A Combinatorial Approach.
      .- Towards a Unifying View on Monotone Constructive Definitions.
      .- Partial Boolean Functions for QBF Semantics.

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