This study examined potential subgroups of patients with generalized social anxiety disorder (SAD) based on novelty-seeking tendencies. Eighty-two outpatients with DSM-IV generalized SAD were recruited from an outpatient anxiety clinic and assessed with the Tridimensional Personality Questionnaire. The novelty-seeking subscales, reflecting risk-prone and disinhibited behavior tendencies, served...

The introduction of the concept of state novelty has advanced the state of the art in deterministic online planning in Atarilike problems and in planning with rewards in general, when rewards are defined on states. In classical planning, however, the success of novelty as the dichotomy between novel and non-novel states was somewhat limited. Until very recently, novelty-based methods were not a...

In this paper, a new novelty detection approach based on the identification of sentence level information patterns is proposed. First, ‘‘novelty’’ is redefined based on the proposed information patterns, and several different types of information patterns are given corresponding to different types of users’ information needs. Second, a thorough analysis of sentence level information patterns is...

This paper presents a principled method for detecting “abnormal” content in vibration spectra obtained from rotating machinery. We illustrate the use of the method in detecting abnormality in jet engine vibration spectra corresponding to unforeseen engine events. We take a novelty detection approach, in which a model of normality is constructed from the typically large numbers of examples of “n...

In time-series analysis it is often assumed that observed data can be modelled as being derived from a number of regimes of dynamics, as e.g. in a Switching Kalman Filter (SKF) [8, 2]. However, it may not be possible to model all of the regimes, and in this case it can be useful to represent explicitly a ‘novel’ regime. We apply this idea to the Factorial Switching Kalman Filter (FSKF) by intro...

— In order to reduce redundant and nonrelevant information presented to users related to their query, there is a need for the novelty detection of those Web documents. This paper presents a novel approach to detect the novelty in the documents. Keywords— Novelty Detection, information retrieval, TREC, redundancy, information patterns.

The enormous amount of information on the Internet has raised the challenge of highlighting new information in the context of already viewed content. This type of intelligent interface can save users time and prevent frustration. Our goal is to scale up novelty detection to large web properties like Google News and Yahoo News. We present a set of lightweight features for online novelty scoring ...

Novelty detection is an important tool for unsupervised data analysis. It relies on finding regions of low density within which events are then flagged as novel. By design this is dependent on the underlying measure of the space. In this paper we derive a formulation which is able to address this problem by allowing for a reference measure to be given in the form of a sample from an alternative...

With the massive growth of social data, a huge attention has been given to the task of detecting key topics in the Twitter stream. In this paper, we propose the use of novelty detection techniques for identifying both emerging and evolving topics in new tweets. In specific, we propose a locally adaptive approach for density-ratio estimation in which the density ratio between new and reference d...

Please cite this article as: Rodolfo Solís-Vivanco, Mayela Rodríguez-Violante, Amín Cervantes-Arriaga, Edith Justo-Guillén, Josefina Ricardo-Garcell , Brain oscillations reveal impaired novelty detection from early stages of Parkinson's disease. The address for the corresponding author was captured as affiliation for all authors. Please check if appropriate. Ynicl(2018), doi:10.1016/j.nicl.2018...