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Related lectures (11)
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Tactical Configurations: Rödl Nibble
Explores tactical configurations, covering the minimal size of subsets needed to cover element sets and the concept of K-sets and base points.
Set Coverings and Uniformity Theorems
Explores set coverings and uniformity theorems in hypergraphs, revealing insights into their structures.
AI in Chemistry: Hypergraph and Single-Step Ritual Synthesis
Explores AI applications in chemistry, hypergraphs, single-step ritual synthesis, and retro-synthetic models evaluation.
Graph Theory: Girth and Independence
Covers girth, independence, probability, union bound, sets, and hypergraph recoloring.
Probability Theory: Markov's Theorem
Explores Markov's theorem, Chernoff bound, and probability theory fundamentals, including good coloring, 2-colorable graphs, and rare events.
Hypergraphs and Link Prediction: Statistical Analysis of Network Data
Covers hypergraphs, complete hypergraphs, link prediction, and scoring methods in network data analysis.
Probabilistic Methods in Combinatorics
Covers probabilistic methods in combinatorics, monochromatic edges, 2-colorable graphs, and good 2-colorings.
Statistical Analysis of Network Data: Hypergraphs
Introduces hypergraphs, generalizing graphs by allowing subsets of nodes to form edges and exploring their applications in various fields.
Independence Polynomial of Dependency Graph
Covers the independence polynomial of a dependency graph and related concepts such as graph coloring and directed graph properties.
Statistical Analysis of Network Data: Structures and Models
Explores statistical analysis of network data, covering graph structures, models, statistics, and sampling methods.
Directed Networks & Hypergraphs
Explores directed networks with asymmetric relationships and hypergraphs that generalize graphs by allowing edges to connect any subset of nodes.
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