Mining Predictive k-CNF Expressions

نویسندگان
چکیده

برای دانلود رایگان متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

Mining Predictive k - CNF Expressions Anton

We adapt Mitchell’s version space algorithm for mining k-CNF formulae. Advantages of this algorithm are that it runs in a single pass over the data, is conceptually simple, can be used for missing value prediction, and has interesting theoretical properties, while an empirical evaluation on classification tasks yields competitive predictive results.

متن کامل

Unsatisfiable (k,(4*2^k/k))-CNF formulas

A Boolean formula in a conjunctive normal form is called a (k, s)-formula if every clause contains exactly k variables and every variable occurs in at most s clauses. We show that there are unsatisfiable (k, 4 · 2 k

متن کامل

On Computing k-CNF Formula Properties

The latest generation of SAT solvers (e.g. [9, 5]) generally have three key features: randomization of variable selection, backtracking search, and some form of clause learning. We present a simple algorithm with these three features and prove that for instances with constant ∆ (where ∆ is the clause-to-variable ratio) the algorithm indeed has good worst-case performance, not only for computing...

متن کامل

Mining to Compact CNF Propositional Formulae

In this paper, we propose a first application of data mining techniques to propositional satisfiability. Our proposed Mining4SAT approach aims to discover and to exploit hidden structural knowledge for reducing the size of propositional formulae in conjunctive normal form (CNF). Mining4SAT combines both frequent itemset mining techniques and Tseitin’s encoding for a compact representation of CN...

متن کامل

Online Learning of k-CNF Boolean Functions

This paper revisits the problem of learning a k-CNF Boolean function from examples, for fixed k, in the context of online learning under the logarithmic loss. We give a Bayesian interpretation to one of Valiant’s classic PAC learning algorithms, which we then build upon to derive three efficient, online, probabilistic, supervised learning algorithms for predicting the output of an unknown k-CNF...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

ژورنال

عنوان ژورنال: IEEE Transactions on Knowledge and Data Engineering

سال: 2010

ISSN: 1041-4347

DOI: 10.1109/tkde.2009.152