The objective of pool-based incremental active learning is to choose a sample to label from a pool of unlabeled samples in an incremental manner so that the generalization error is minimized. In this scenario, the generalization error often hits a minimum in the middle of the incremental active learning procedure and then it starts to increase. In this paper, we address the problem of early lab...

The attribute set in an information system evolves in time when new information arrives. Both lower and upper approximations of a concept will change dynamically when attributes vary. Inspired by the former incremental algorithm in Pawlak rough sets, this paper focuses on new strategies of dynamically updating approximations in probabilistic rough sets and investigates four propositions of upda...

In this paper, a boosting-based incremental hybrid intrusion detection system is introduced. This system combines incremental misuse detection and incremental anomaly detection. We use boosting ensemble of weak classifiers to implement misuse intrusion detection system. It can identify new classes types of intrusions that do not exist in the training dataset for incremental misuse detection. As...

This paper examines how firms in an emerging economy cope with resource challenges by implementing compensation strategies for incremental product innovations. The model is empirically tested using...

It is today acknowledged that neural network language models outperform backoff language models in applications like speech recognition or statistical machine translation. However, training these models on large amounts of data can take several days. We present efficient techniques to adapt a neural network language model to new data. Instead of training a completely new model or relying on mix...

Simultaneous translation is the challenging task of listening to source language speech, and at the same time, producing target language speech. Human interpreters achieve this task routinely and effortlessly, using different strategies in order to minimize the latency in producing target language. Toward modeling the human interpretation process, we propose a novel input segmentation method us...

Simultaneous translation is the challenging task of listening to source language speech, and at the same time, producing target language speech. Human interpreters achieve this task routinely and effortlessly, using different strategies in order to minimize the latency in producing target language. Toward modeling the human interpretation process, we propose a novel input segmentation method us...

Bidirectional incremental evolution (BIE) has been proposed as a technique to overcome the ”stalling” effect in evolvable hardware applications. However preliminary results show perceptible dependence of performance of BIE and quality of evaluated circuit on assembling strategy applied during reverse stage of incremental evolution. The purpose of this paper is to develop assembling strategy tha...

The notion of ‘requirements-uncertainty’ has received a lot of attention in the Information Systems and Software Engineering literature. As the level of uncertainty of user-requirements increases, the literature advises project managers to move away from the traditional waterfall life-cycle model and towards more ‘experimental’ approaches, such as incremental-delivery and prototyping. But there...

Implicit beliefs about the nature of human abilities have significant motivational, behavioral, and affective consequences. The purpose of this article was to review the application of implicit beliefs to the youth sport context and to provide theoretically derived and evidence-based instructional strategies to promote adaptive implicit beliefs about human abilities within this context. A narra...