The Kóczy-Hirota Fuzzy Interpolation (“KH” method, Kóczy and Hirota, 1991) is the first method adapting the declarative way of fuzzy function definition and the related “fuzzy dot” rule representation by introducing the concept of Fuzzy Rule Interpolation (FRI). The original KH method had many followers. Most of the FRI methods have difficulties in freely defining the relation of the observatio...

A new method for predicting prosodic parameters, i.e. phone durations and F0 targets, from preprocessed text is presented. The prosody model comprises a set of CARTs, which are learned from a large database of labeled speech. This database need not be annotated with Tone and Break Indices (ToBI labels). Instead, a simpler symbolic prosodic description is created by a bootstrapping method. The m...

INTRODUCTION Different prediction rules have been applied to patients with undifferentiated arthritis (UA) to identify those that progress to rheumatoid arthritis (RA). The Leiden Prediction Rule (LPR) has proven useful in different UA cohorts. OBJECTIVE To apply the LPR to a cohort of patients with UA of northeastern Mexico. METHODS We included 47 patients with UA, LPR was applied at basel...

Clinical Prediction Rules (CPRs) are tools that quantify the contribution of symptoms, clinical signs and available diagnostic tests, and in doing so stratify patients according to the probability of having a target outcome or need for a specified treatment. Most focus on the derivation stage with only a minority progressing to validation and very few undergoing impact analysis. Impact analysis...

Marcus (2001) argues that only those connectionist models that incorporate (classical) rules can account for the phenomenon of transfer of learning in infants. Seidenberg and Elman (1999) have tried to counter to Marcus by means of a simple recurrent network (SRN) trained on a categorization task. In this paper we show how a prediction-SRN, trained on a simple but structured pre-training set, c...

CONTEXT Successful implementation of evidence-based practice (EBP) within athletic training is contingent upon understanding the attitudes and beliefs and perceived barriers toward EBP as well as the accessibility to EBP resources of athletic training educators, clinicians, and students. OBJECTIVE To assess the attitudes, beliefs, and perceived barriers toward EBP and accessibility to EBP res...

OBJECTIVES Identifying clinical prediction rules (CPRs) for primary care from electronic databases is difficult. This study aims to identify a search filter to optimize retrieval of these to establish a register of CPRs for the Cochrane Primary Health Care field. STUDY DESIGN AND SETTING Thirty primary care journals were manually searched for CPRs. This was compared with electronic search fil...

Today’s vehicle collision prediction algorithms are rule-based, and have not benefited from the recent developments in deep learning. This is because it is almost impossible to collect a large amount of collision data from the real world. To address this challenge, we collect a large accident data set using a popular video game named GTA V. Using this accident data set, we develop efficient pre...

Gene expression array technology has rapidly become a standard tool for biologists. Its use within areas such as diagnostics, toxicology, and genetics, calls for good methods for finding patterns and prediction models from the generated data. Rule induction is one promising candidate method due to several attractive properties such as high level of expressiveness and interpretability. In this w...