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 ...
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 ...
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 ...
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 ...
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 ...
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 ...