Much research in handwriting recognition has focused on how to improve recognizers with constrained training set sizes. This paper presents the results of training a nearest-neighbor based online Japanese Kanji recognizer and a neural-network based online cursive English recognizer on a wide range of training set sizes, including sizes not generally available. The experiments demonstrate that i...

Heuristic methods for the rejection of noisy training examples in the support vector machine (SVM) are introduced. Rejection of training errors, either ooine or online, results in a sparser model that is less aaected by noisy data. A simple ooine heuristic provides sparser models with similar generalization performance to the standard SVM, at the expense of longer training times. An online appr...

this paper illustrates the design and implementation of fain (filtering agent for internet) based on the gaia methodology and the auml notation. the proposed system generates and maintains a user profile by learning from examples that are judged and classified by the user during the training stage. a learning algorithm which is based on the baldwin effect that combines learning with evolution i...

While an ever increasing popularity of online wiki platforms, usertagging tools, blogs, and forums is the core characteristic of the Web 2.0 era, converting an existing high-quality training module into a collaborative online space for an active community of practice (CoP) while preserving its quality approval processes is a challenging task. This is the aim of the ECDC-funded Field Epidemiolog...

The continued and increasing use of online training raises the question of whether the most effective training methods applied in live instruction will carry over to different online environments in the long run. Behavior Modeling (BM) approach – teaching through demonstration — has been proven as the most effective approach in a face-to-face (F2F) environment. A quasi-experiment was conducted ...

Online plagiarism tutorials are increasingly popular in higher education, as faculty and staff try to curb the plagiarism epidemic. Yet no research has validated the efficacy of such tools in minimizing plagiarism in the sciences. Our study compared three plagiarism-avoidance training regimens (i.e., no training, online tutorial, or homework assignment) and their impacts on students' ability to...

in many active noise control (anc) applications, an online secondary pathmodelling method that uses a white noise as a training signal is required. this paperproposes a new feedback anc system. here we modified both the fxlms and thevss-lms algorithms to raised noise attenuation and modelling accuracy for theoverall system. the proposed algorithm stops injection of the white noise at theoptimum...

We propose a new method for object detection by combining off-line and on-line boosting learning to classifier grids based on visual information without human intervention concerned to intelligent surveillance system. It allows for combine information labeled and unlabeled use different contexts to update the system, which is not available at off-line training time. The main goal is to develop ...