Selecting the Appropriate Consistency Algorithm for

... on the problem instance. We propose to use a classifier to select the appropriate algorithm to use given a set of problem features (Xu et al. 2008). In this paper, we describe building classifiers using three different learning algorithms trained under different conditions and summarize our experime ...

... on the problem instance. We propose to use a classifier to select the appropriate algorithm to use given a set of problem features (Xu et al. 2008). In this paper, we describe building classifiers using three different learning algorithms trained under different conditions and summarize our experime ...

Lecture 23-30

... [origin = X1, manufacture = X2, color = X3, decade = X4, type = X5] GET EX1 (+) G = {(X1, X2, X3, X4, X5)} S = {(Japan,Honda, Blue,1980,Economy}) =Figure 17.12 in EX1 GET EX2 (-) G = {(X1, Honda, X3, X4, X5), (X1, X2, Blue, X4, X5) , (X1, X2, X3, 1980, X5), (X1, X2, X3, X4, Economy)} S = {(Jap ...

... [origin = X1, manufacture = X2, color = X3, decade = X4, type = X5] GET EX1 (+) G = {(X1, X2, X3, X4, X5)} S = {(Japan,Honda, Blue,1980,Economy}) =Figure 17.12 in EX1 GET EX2 (-) G = {(X1, Honda, X3, X4, X5), (X1, X2, Blue, X4, X5) , (X1, X2, X3, 1980, X5), (X1, X2, X3, X4, Economy)} S = {(Jap ...

Multi-Instance Learning

... PAC model-cont’d Properties of a pac learning algorithm It is probable that a useful training sample is presented. One can only expect that the output hypothesis is ...

... PAC model-cont’d Properties of a pac learning algorithm It is probable that a useful training sample is presented. One can only expect that the output hypothesis is ...

START of day 1

... • Hence, instance-based learners never form an explicit general hypothesis regarding the target function. They simply compute the classification of each new query instance as needed ...

... • Hence, instance-based learners never form an explicit general hypothesis regarding the target function. They simply compute the classification of each new query instance as needed ...

A Decision Procedure for a Fragment of Linear Time Mu

... for each least fixpoint subformula F of and each formula of the form 1 ^ 2 in the closure of , that F appears at most in one conjunct of 1 ^ 2 . Despite this restriction, Gµ is still very expressive. Consider the following goal: “a sweeping robot must clean a house on every Monday (whether it cleans ...

... for each least fixpoint subformula F of and each formula of the form 1 ^ 2 in the closure of , that F appears at most in one conjunct of 1 ^ 2 . Despite this restriction, Gµ is still very expressive. Consider the following goal: “a sweeping robot must clean a house on every Monday (whether it cleans ...

from Converse PDL - School of Computer Science

... We show that is possible to eliminate the "converse" operator from CPDL, without compromising the soundness and completeness of inference for it. Specifically we present an intuitive encoding of CPDL formulae into PDL that eliminates the converse programs from a CPDL formula, but adds enough informa ...

... We show that is possible to eliminate the "converse" operator from CPDL, without compromising the soundness and completeness of inference for it. Specifically we present an intuitive encoding of CPDL formulae into PDL that eliminates the converse programs from a CPDL formula, but adds enough informa ...

Using fuzzy temporal logic for monitoring behavior

... value of the proposition V isibleBall will be a real number between 0 and 1 reflecting our incapacity to draw clear boundaries between thruthness and falseness of a proposition. This allows us to include fuzzy statements such as “slightly visible” or “completely visible”. On the other hand, it is no ...

... value of the proposition V isibleBall will be a real number between 0 and 1 reflecting our incapacity to draw clear boundaries between thruthness and falseness of a proposition. This allows us to include fuzzy statements such as “slightly visible” or “completely visible”. On the other hand, it is no ...

Powerpoint

... Linear Classifiers Inputs are feature values Each feature has a weight Sum is the activation ...

... Linear Classifiers Inputs are feature values Each feature has a weight Sum is the activation ...

Propositional Fragments for Knowledge

... al. 2005)); in particular, it includes SAT as a specific case; furthermore, there is some empirical evidence from various AI fields (including among others planning, nonmonotonic reasoning, paraconsistent inference) that a translation-based approach can prove more “efficient” than domain-dependent a ...

... al. 2005)); in particular, it includes SAT as a specific case; furthermore, there is some empirical evidence from various AI fields (including among others planning, nonmonotonic reasoning, paraconsistent inference) that a translation-based approach can prove more “efficient” than domain-dependent a ...

Reformulation based MaxSAT robustness (Extended abstract)

... In this paper we have proposed a mechanism for finding robust solutions to weighted MaxSAT problems. We have extended the approach of Ginsberg et al. [4] to deal with cost constraints and don’t-care variables. By using cardinality constraints, the reformulation results in a much smaller problem in t ...

... In this paper we have proposed a mechanism for finding robust solutions to weighted MaxSAT problems. We have extended the approach of Ginsberg et al. [4] to deal with cost constraints and don’t-care variables. By using cardinality constraints, the reformulation results in a much smaller problem in t ...

1 What is Machine Learning? - Computer Science at Princeton

... as in the left column, but later rewritten with the corresponding number of each letter of each animal name, as shown to the right of each name. There are some things to notice about this experiment. First of all, more data is better. For instance, we were unsure whether platypus should be a positiv ...

... as in the left column, but later rewritten with the corresponding number of each letter of each animal name, as shown to the right of each name. There are some things to notice about this experiment. First of all, more data is better. For instance, we were unsure whether platypus should be a positiv ...

Benchmarks Description

... When the value of modularity Q used to generate the instances is very high, there exist some instances having a very small refutation. This happens because most of the clauses relate variables of the same community, and hence it is more likely to find a small unsatisfiable set of clauses which only ...

... When the value of modularity Q used to generate the instances is very high, there exist some instances having a very small refutation. This happens because most of the clauses relate variables of the same community, and hence it is more likely to find a small unsatisfiable set of clauses which only ...

Non-CNF QBF Solving with QCIR - Institute for Formal Models and

... It may be noted that QCIR allows and and or gates with zero arguments; as expected, these correspond to the truth values true and false, respectively. The semantics of a QCIR formula is relatively straightforward. For a gate literal x, let [[x]] denote the formula that x represents. (If x is a non-g ...

... It may be noted that QCIR allows and and or gates with zero arguments; as expected, these correspond to the truth values true and false, respectively. The semantics of a QCIR formula is relatively straightforward. For a gate literal x, let [[x]] denote the formula that x represents. (If x is a non-g ...

Sets of Boolean Connectives that make Argumentation Easier

... (Φ, α), where the support Φ is a consistent set (or a minimal consistent set) of formulae from a given knowledge base that entails the claim α which is a formula (see, for example, [BH01, AC02, GS04, DKT06]). Different logical formalisms provide different definitions for consistency and entailment a ...

... (Φ, α), where the support Φ is a consistent set (or a minimal consistent set) of formulae from a given knowledge base that entails the claim α which is a formula (see, for example, [BH01, AC02, GS04, DKT06]). Different logical formalisms provide different definitions for consistency and entailment a ...

Clustering Approach to Generalized Pattern Identification Based on Multi-instanced Objects with DARA

... generate good clustering results, which leads to less meaningful clustering results. RDBC approach is also not able to generate interpretable rules. In our approach to clustering in a multi-relational environment, we consider all instances of an object when the distance between two objects is comput ...

... generate good clustering results, which leads to less meaningful clustering results. RDBC approach is also not able to generate interpretable rules. In our approach to clustering in a multi-relational environment, we consider all instances of an object when the distance between two objects is comput ...

Hardness-Aware Restart Policies

... Gomes et al. [7] demonstrated the effectiveness of randomized restarts on a variety of problems in scheduling, theorem-proving, and planning. In this approach, randomness is added to the branching heuristic of a systematic search algorithm; if the search algorithm does not find a solution within a g ...

... Gomes et al. [7] demonstrated the effectiveness of randomized restarts on a variety of problems in scheduling, theorem-proving, and planning. In this approach, randomness is added to the branching heuristic of a systematic search algorithm; if the search algorithm does not find a solution within a g ...

Problem Solving and Search in Artificial Intelligence - DBAI

... Algorithm selection Input (see [8] and [9]): Problem space P that represents the set of instances of a problem class A feature space F that contains measurable characteristics of the instances generated by a computational feature extraction process applied to P Set A of all considered algorit ...

... Algorithm selection Input (see [8] and [9]): Problem space P that represents the set of instances of a problem class A feature space F that contains measurable characteristics of the instances generated by a computational feature extraction process applied to P Set A of all considered algorit ...

Project specification

... developed. The goal of this project can be summarised as to compare different sudoku solving algorithms and develop our own algorithm depending on which ideas and construction methods that seems to work well for. There should however be a clarification concerning which algorithms that will be consid ...

... developed. The goal of this project can be summarised as to compare different sudoku solving algorithms and develop our own algorithm depending on which ideas and construction methods that seems to work well for. There should however be a clarification concerning which algorithms that will be consid ...

Ten Challenges Redux: Recent Progress in Propositional

... graph that has all decision variables on one side, called the reason side, and false as well as at least one conflict literal on the other side, called the conflict side. All nodes on the reason side that have at least one edge going to the conflict side form a cause of the conflict. The negations o ...

... graph that has all decision variables on one side, called the reason side, and false as well as at least one conflict literal on the other side, called the conflict side. All nodes on the reason side that have at least one edge going to the conflict side form a cause of the conflict. The negations o ...

Quantitatively Evaluating Formula-Variable Relevance by

... knowledge base via variable forgetting. As we know, it is a common thing that inconsistencies may occur in a knowledge base due to different sources of knowledge or different views of the world for each person. In classical logics, if inconsistency lies in a belief set, then ex falso quodlibet occur ...

... knowledge base via variable forgetting. As we know, it is a common thing that inconsistencies may occur in a knowledge base due to different sources of knowledge or different views of the world for each person. In classical logics, if inconsistency lies in a belief set, then ex falso quodlibet occur ...

The State of SAT - Cornell Computer Science

... Currently the most practical extension of general resolution is symmetry detection. The pigeon hole problem is intuitively easy because we immediately see that different pigeons and holes are indistinguishable, so we do not need to actually consider all possible matchings — without loss of generali ...

... Currently the most practical extension of general resolution is symmetry detection. The pigeon hole problem is intuitively easy because we immediately see that different pigeons and holes are indistinguishable, so we do not need to actually consider all possible matchings — without loss of generali ...

A Formal Characterization of Concept Learning in Description Logics

... inference plays a key role in ML algorithms, though other inferences such as abduction and analogy are also considered. The effect of applying inductive ML algorithms depends on whether the scope of induction is discrimination or characterization [28]. Discriminant induction aims at inducing hypothe ...

... inference plays a key role in ML algorithms, though other inferences such as abduction and analogy are also considered. The effect of applying inductive ML algorithms depends on whether the scope of induction is discrimination or characterization [28]. Discriminant induction aims at inducing hypothe ...

First-Order Extension of the FLP Stable Model

... semantics proposed by Ferraris, Lee and Lifschitz, the semantics proposed here are based on syntactic transformations that are similar to circumscription. The reformulations provide useful insights into the FLP semantics and its relationship to circumscription and the first-order stable model semant ...

... semantics proposed by Ferraris, Lee and Lifschitz, the semantics proposed here are based on syntactic transformations that are similar to circumscription. The reformulations provide useful insights into the FLP semantics and its relationship to circumscription and the first-order stable model semant ...

Schematic Invariants by Reduction to Ground Invariants

... typed schematic language for expressing actions and invariants.1 Definition 1 (Types) Let O be a set of objects. Let there be a finite set T of types, and to each type t ∈ T a non-empty set D(t) ⊆ O of objects is associated by the domain function D : T → O. The objects of different types do not need ...

... typed schematic language for expressing actions and invariants.1 Definition 1 (Types) Let O be a set of objects. Let there be a finite set T of types, and to each type t ∈ T a non-empty set D(t) ⊆ O of objects is associated by the domain function D : T → O. The objects of different types do not need ...