Obesity, a condition influenced by genetic, environmental, and behavioral factors, poses significant health risks. this study leverages the GenObIA dataset, collected from January 2018 to June 2022, which includes ext...
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the rapid growth of social media has made the Internet a critical platform for spreading misinformation, which shapes public opinion and harms society. Despite significant research in fake news detection, most probabi...
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ISBN:
(数字)9798331507817
ISBN:
(纸本)9798331507824
the rapid growth of social media has made the Internet a critical platform for spreading misinformation, which shapes public opinion and harms society. Despite significant research in fake news detection, most probabilistic efforts rely heavily on Naive Bayes, with limited exploration of other probabilistic models. this paper introduces a Bayesian network (BN) modelling-based framework for fake news detection, offering a probabilistic estimate of the likelihood of news being false. Unlike binary classification, this approach reflects human decision-making by evaluating three key questions: “who”, “what”, and “when”. Each module corresponds to a specific feature set, enabling nuanced reasoning about the news's credibility. the framework is flexible, allowing adjustments through expert input, knowledge bases, or real-world data. We validate the approach using a semi-synthetic dataset containing features from news content, user behaviour, and social context. the results highlight the framework's capacity to leverage expert knowledge, providing a more reliable and adaptive solution compared to traditional classifiers. the BN-based method demonstrates enhanced robustness, positioning it as a promising tool for tackling misinformation in an evolving digital landscape.
We consider a practical extension of the classical dial-a-ride problem (DARP) called the electric autonomous DARP where electric and autonomous vehicles provide service for transportation requests with time windows. T...
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the proceedings contain 21 papers. the topics discussed include: logical characterization of contextual hidden-variable theories based on quantum set theory;generators and relations for 2-Qubit Clifford+T operators;re...
the proceedings contain 21 papers. the topics discussed include: logical characterization of contextual hidden-variable theories based on quantum set theory;generators and relations for 2-Qubit Clifford+T operators;reducing 2-QuBit gate count for ZX-calculus based quantum circuit optimization;building qutrit diagonal gates from phase gadgets;complete flow-preserving rewrite rules for MBQC patterns with Pauli measurements;quantum linear optics via string diagrams;identification of causal influences in quantum processes;architecture-aware synthesis of phase polynomials for NISQ devices;encoding high-level quantum programs as SZX-diagrams;universal properties of partial quantum maps;the causal structure of semantic ambiguities;how to sum and exponentiate Hamiltonians in ZXW calculus;and diagrammatic analysis for parameterized quantum circuits.
Various approaches can be used to solve dynamic optimization problems. For example, on the one hand, optimization algorithms can be restarted every time the problem changes. As this results in a loss of optimization p...
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the proceedings contain 23 papers. the special focus in this conference is on Computability in Europe. the topics include: Elementarily Traceable Irrational Numbers;logic vs Topology on Regular ω -languages;subr...
ISBN:
(纸本)9783031369773
the proceedings contain 23 papers. the special focus in this conference is on Computability in Europe. the topics include: Elementarily Traceable Irrational Numbers;logic vs Topology on Regular ω -languages;subrecursive Graphs of Representations of Irrational Numbers;on the Complexity of Learning Programs;the Complexity of Finding Supergraphs;extending Wagner’s Hierarchy to Deterministic Visibly Pushdown Automata;On Guarded Extensions of MMSNP;turning Block-Sequential Automata Networks into Smaller Parallel Networks with Isomorphic Limit Dynamics;structural Complexity of Rational Interactive Proofs;the Relationship Between Local and Global Structure in the Enumeration Degrees;physical Zero-Knowledge Proof for Ball Sort Puzzle;graph Subshifts;improved Complexity Analysis of Quasi-Polynomial Algorithms Solving Parity Games;an O(√k) -Approximation Algorithm for Minimum Power k Edge Disjoint st-Paths;direct Construction of Scott Ideals;the Non-normal Abyss in Kleene’s Computability theory;a Constructive Picture of Noetherian Conditions and Well Quasi-orders;symmetry for Transfinite Computability;all Melodies Are Lost – Recognizability for Weak and Strong α -Register Machines;de Groot Duality for Represented Spaces;some Games on Turing Machines and Power from Random Strings.
the proceedings contain 36 papers. the special focus in this conference is on Integer programming and Combinatorial Optimization. the topics include: On scheduling coflows;integrality gaps of integer knapsack problems...
ISBN:
(纸本)9783319592497
the proceedings contain 36 papers. the special focus in this conference is on Integer programming and Combinatorial Optimization. the topics include: On scheduling coflows;integrality gaps of integer knapsack problems;approximation of corner polyhedra with families of intersection cuts;the structure of the infinite models in integer programming;mixed-integer linear representability, disjunctions, and variable elimination;cutting planes from wide split disjunctions;the heterogeneous capacitated k-center problem;local guarantees in graph cuts and clustering;verifying integer programming results;long term behavior of dynamic equilibria in fluid queuing networks;approximation algorithm for the maximum traveling salesman problem;minimizing multimodular functions and allocating capacity in bike-sharing systems;stochastic online scheduling on unrelated machines;beating half for random arrival;an improved deterministic rescaling for linear programming algorithms;a quasi-polynomial approximation for the restricted assignment problem;adaptive submodular ranking;minimum birkhoff-von Neumann decomposition;maximum matching in the online batch-arrival model;budget feasible mechanisms on matroids;deterministic discrepancy minimization via the multiplicative weight update method;mixed-integer convex representability;high degree sum of squares proofs, bienstock-zuckerberg hierarchy and cg cuts;enumeration of integer points in projections of unbounded polyhedra and equilibrium computation in atomic splittable singleton congestion games.
Vectorial Genetic programming (Vec-GP) extends GP by allowing vectors as input features along regular, scalar features, using them by applying arithmetic operations component-wise or aggregating vectors into scalars b...
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this open access book constitutes the proceedings of the 19thinternationalconference on Agile Software Development, XP 2018, held in Porto, Portugal, in May 2018. XP is the premier agile software development confere...
ISBN:
(纸本)9783319916019
this open access book constitutes the proceedings of the 19thinternationalconference on Agile Software Development, XP 2018, held in Porto, Portugal, in May 2018. XP is the premier agile software development conference combining research and practice, and XP 2018 provided a playful and informal environment to learn and trigger discussions around its main theme make, inspect, adapt. the 21 papers presented in this volume were carefully reviewed and selected from 62 submissions. they were organized in topical sections named: agile requirements; agile testing; agile transformation; scaling agile; human-centric agile; and continuous experimentation.
the proceedings contain 28 papers. the special focus in this conference is on Integration of Constraint programming, Artificial Intelligence, and Operations Research. the topics include: Solving the Extended Job ...
ISBN:
(纸本)9783031080104
the proceedings contain 28 papers. the special focus in this conference is on Integration of Constraint programming, Artificial Intelligence, and Operations Research. the topics include: Solving the Extended Job Shop Scheduling Problem with AGVs – Classical and Quantum Approaches;stochastic Decision Diagrams;Improving the Robustness of EPS to Solve the TSP;Efficient Operations Between MDDs and Constraints;deep Policy Dynamic programming for Vehicle Routing Problems;learning a Propagation Complete Formula;a FastMap-Based Algorithm for Block Modeling;packing by Scheduling: Using Constraint programming to Solve a Complex 2D Cutting Stock Problem;dealing withthe Product Constraint;multiple-choice Knapsack Constraint in Graphical Models;A SAT Encoding to Compute Aperiodic Tiling Rhythmic Canons;a Learning Large Neighborhood Search for the Staff Rerostering Problem;a MinCumulative Resource Constraint;practically Uniform Solution Sampling in Constraint programming;training thinner and Deeper Neural Networks: Jumpstart Regularization;hybrid Offline/Online Optimization for Energy Management via Reinforcement Learning;enumerated Types and Type Extensions for MiniZinc;A Parallel Algorithm for GAC Filtering of the Alldifferent Constraint;analyzing the Reachability Problem in Choice Networks;model-Based Approaches to Multi-attribute Diverse Matching;Transferring Information Across Restarts in MIP;towards Copeland Optimization in Combinatorial Problems;Coupling Different Integer Encodings for SAT;model-Based Algorithm Configuration with Adaptive Capping and Prior Distributions;shattering Inequalities for Learning Optimal Decision Trees;learning Pseudo-Backdoors for Mixed Integer Programs.
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