'Satisfied clauses' presentation slideshows

Statistical Relational Learning

Statistical Relational Learning. Pedro Domingos Dept. of Computer Science & Eng. University of Washington. Overview. Motivation Foundational areas Probabilistic inference Statistical learning Logical inference Inductive logic programming Putting the pieces together Applications.

1.36k views • 109 slides

Practical Statistical Relational AI

Practical Statistical Relational AI. Pedro Domingos Dept. of Computer Science & Eng. University of Washington. Overview. Motivation Foundational areas Probabilistic inference Statistical learning Logical inference Inductive logic programming Putting the pieces together Applications.

1.27k views • 109 slides

First Order Representations and Learning

626 views • 62 slides

A Simple, Greedy Approximation Algorithm for MAX SAT

A Simple, Greedy Approximation Algorithm for MAX SAT. David P. Williamson Joint work with Matthias Poloczek (Frankfurt, Cornell) and Anke van Zuylen (William & Mary). Greedy algorithms.

579 views • 42 slides

A Simple, Greedy Approximation Algorithm for MAX SAT

A Simple, Greedy Approximation Algorithm for MAX SAT. David P. Williamson Joint work with Matthias Poloczek (Frankfurt, Cornell) and Anke van Zuylen (William & Mary). Greedy algorithms.

621 views • 42 slides

A Simple, Greedy Approximation Algorithm for MAX SAT

A Simple, Greedy Approximation Algorithm for MAX SAT. David P. Williamson Joint work with Matthias Poloczek (Frankfurt, Cornell) and Anke van Zuylen (William & Mary). Greedy algorithms.

517 views • 42 slides

Local and Stochastic Search

563 views • 41 slides

First-Order Logic and Inductive Logic Programming

First-Order Logic and Inductive Logic Programming. Overview. First-order logic Inference in first-order logic Inductive logic programming. First-Order Logic. Constants, variables, functions, predicates E.g.: Anna, x, MotherOf(x), Friends(x, y) Literal: Predicate or its negation

520 views • 15 slides

First-Order Logic and Inductive Logic Programming

First-Order Logic and Inductive Logic Programming. Overview. First-order logic Inference in first-order logic Inductive logic programming. First-Order Logic. Constants, variables, functions, predicates E.g.: Anna, x, MotherOf(x), Friends(x, y) Literal: Predicate or its negation

159 views • 15 slides

First-Order Logic and Inductive Logic Programming

First-Order Logic and Inductive Logic Programming. Overview. First-order logic Inference in first-order logic Inductive logic programming. First-Order Logic. Constants, variables, functions, predicates E.g.: Anna, x, MotherOf(x), Friends(x, y) Literal: Predicate or its negation

154 views • 15 slides

Local search characteristics of incomplete SAT procedures

Local search characteristics of incomplete SAT procedures. Tang Yi Based on [1]. Local search methods. Effective engineering methods for finding satisfying assignments Incomplete and cannot prove if the solution exists Systematic understanding remains elusive

90 views • 9 slides