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Introducción a la genética y la evolución
Introduction to Genetics and Evolution
Machine Learning Foundations: A Case Study Approach
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Explore ML applications in cargo capacity management, focusing on booking control problems and predicting solution costs for discrete optimization in revenue management.
Neural network verification as piecewise linear optimization: exploring robust methods to prove model reliability against attacks, using LP and MIP formulations for efficient problem-solving in various network types.
Explore how Transformer networks can tackle the Traveling Salesman Problem, improving upon existing heuristics with promising results for combinatorial optimization challenges.
Explore fair and interpretable decision rules for binary classification using Boolean rule sets in DNF, with a focus on maximizing accuracy while maintaining group fairness constraints.
Explore Schrödinger bridges in classical and quantum contexts, their applications to Markov chains and quantum channels, and their solutions for probability distributions and state evolutions.
Explores limitations of oscillator-to-oscillator codes in quantum information, proving they lack a threshold property for error correction when using constant squeezing and maximum likelihood decoding.
Explores mix-norms and correlation decay rates in complex flows, discussing q-recurrence, q-transience, and their implications for measuring mixing intensity in various systems.
Explore small scale formations in incompressible porous media equations, including infinite-time growth of Sobolev norms and potential finite-time blow-up scenarios.
Explore nonlinear network observability in autonomous systems, covering analytical and empirical tools for sensor selection, network analysis, and applications in engineering and biology.
Explore a multi-population traffic flow model accounting for vehicle automation, analyzing strategic choices based on information levels and their impact on traffic efficiency.
Explores deployment scenarios and network impacts of autonomous fleet mobility services, discussing optimization challenges, integration with existing transit, and potential societal benefits.
Exploring formal verification, monitoring, and safety case formalization for assurance-based learning-enabled cyber-physical systems, focusing on autonomous vehicles and their complex components.
Explore programming abstractions for distributed robotic systems, focusing on platform-independent control and coordination code that's portable and verifiable, using the Koord language.
Explores a novel trajectory planning method for autonomous vehicles, balancing safety and real-time performance through offline computations and runtime optimization to ensure persistent feasibility.
Explore innovative traffic control strategies, from individual vehicle management to large-scale systems, addressing technological advancements and methodological challenges in road traffic management.
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