Time- and Learner-Dependent Hidden Markov Model for Writing Process Analysis Using Keystroke Log Data
نویسندگان
چکیده
منابع مشابه
analysis of ruin probability for insurance companies using markov chain
در این پایان نامه نشان داده ایم که چگونه می توان مدل ریسک بیمه ای اسپیرر اندرسون را به کمک زنجیره های مارکوف تعریف کرد. سپس به کمک روش های آنالیز ماتریسی احتمال برشکستگی ، میزان مازاد در هنگام برشکستگی و میزان کسری بودجه در زمان وقوع برشکستگی را محاسبه کرده ایم. هدف ما در این پایان نامه بسیار محاسباتی و کاربردی تر از روش های است که در گذشته برای محاسبه این احتمال ارائه شده است. در ابتدا ما نشا...
15 صفحه اولHidden Markov Model for Inferring Learner Task Using Mouse Movement
One of the issues of e-learning web based application is to understand how the learner interacts with an e-learning application to perform a given task. This study proposes a methodology to analyze learner mouse movement in order to infer the task performed. To do this, a Hidden Markov Model is used for modeling the interaction of the learner with an elearning application. The obtained results ...
متن کاملComputer User Authentication using Hidden Markov Model through Keystroke Dynamics
We present a novel computer user authentication technique using hidden Markov model (HMM) through keystroke dynamics. We propose: (i) modified HMM parameters to reduce the order of computations involved in the forward (or backward) procedure by 2 T (reduction is from 3 T N sc to T Nsc 2 where T and sc N represents the length of the keystroke pattern and the number of states of an HMM per charac...
متن کاملA Simple Hidden Markov Model for Bayesian Modeling with Time Dependent Data a Simple Hidden Markov Model for Bayesian Modeling with Time Dependent Data
SUMMARY Consider a set of real valued realizations of an observable quantity collected over time. We propose a simple hidden Markow model for these realizations in which the the predicted distribution of the next future observation given the past is easily computed. The hidden or unobservable set of parameters is assumed to have a Markov structure of a special type. The model is quite exible an...
متن کاملIntrusion Detection Using Evolutionary Hidden Markov Model
Intrusion detection systems are responsible for diagnosing and detecting any unauthorized use of the system, exploitation or destruction, which is able to prevent cyber-attacks using the network package analysis. one of the major challenges in the use of these tools is lack of educational patterns of attacks on the part of the engine analysis; engine failure that caused the complete training, ...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: International Journal of Artificial Intelligence in Education
سال: 2020
ISSN: 1560-4292,1560-4306
DOI: 10.1007/s40593-019-00189-9