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rule-based learning model

Identification of Evolving Rule based Models

Identification of Evolving Rule based Models

... fuzzy rule-based (eR) models is proposed in this ...the rule-base structure and parameters by incremental unsupervised ...The rule-base evolves by adding more informative rules than those that ...

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Detecting DNS Threats: A Deep Learning Model to Rule Them All

Detecting DNS Threats: A Deep Learning Model to Rule Them All

... (NNA) model consists of an Embedding layer, a Conv1D layer, and finally 4 Dense fully connected ...tokenization based on valid domain name characters so that each character is represented by a unique ...for ...

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Human posture recognition based on multiple features and rule learning

Human posture recognition based on multiple features and rule learning

... is based on rule learning. Therefore, the classification model obtained by using the algorithm is an ensemble of rule sets (consisting of ...machine learning and deep ...

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Enhanced Rules Framework for Predicting Disk Drives Failures

Enhanced Rules Framework for Predicting Disk Drives Failures

... prediction model based on statistical and machine learning methods using Maximum Likelihood rule induction algorithm for solving classification problems through probability distribution ...

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Hierarchical fuzzy rule based model for teaching performance
evaluation

Hierarchical fuzzy rule based model for teaching performance evaluation

... Fuzzy Rule-Based (FRB) architecture model for performing a teaching performance evaluation process in higher learning ...The model emphasizes on the mapping of uncertainty data in ...

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Proceedings of the ACL 2010 Conference Short Papers

Proceedings of the ACL 2010 Conference Short Papers

... 1 A Joint Rule Selection Model for Hierarchical Phrase-Based Translation Lei Cui, Dongdong Zhang, Mu Li, Ming Zhou and Tiejun Zhao.. 6 Learning Lexicalized Reordering Models from Reorder[r] ...

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Intelligent Learning Model Based on Concept for Adaptive E-Learning Significant Weight of Domain Knowledge

Intelligent Learning Model Based on Concept for Adaptive E-Learning Significant Weight of Domain Knowledge

... personalized learning, an adaptive learning system should have a capability to provide each student with a suitable learning material regarding his ...particular learning material produced a ...

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Rule-Based Category Learning in Children: The Role of Inhibitory Control

Rule-Based Category Learning in Children: The Role of Inhibitory Control

... individual learning curve data from the current study illustrated that there was a group of older children who struggled with finding the correct rule and relied on the irrelevant dimension to make ...

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Functional networks inference from rule-based machine learning models

Functional networks inference from rule-based machine learning models

... machine learning models, called ...a rule-based machine learning model to classify the samples, might also be functionally related at a biological ...

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An investigation of machine learning based prediction systems

An investigation of machine learning based prediction systems

... machine learning techniques with a LSR model for predicting software project ...and rule induction, gives them an advantage when considering their interaction with ...

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Automatically identifying the function and intent of posts in underground forums

Automatically identifying the function and intent of posts in underground forums

... trained rule-based (logical) and machine learning (statistical) classification models to predict these labels automatically, and found that a hybrid logical–statistical model performs best for ...

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A particle swarm optimization algorithm for bayesian network structure learning based on chain model

A particle swarm optimization algorithm for bayesian network structure learning based on chain model

... structure learning of which is currently a hot topic for ...chain-model based particle swarm optimization algorithm for the learning of Bayesian network ...a rule chain model, ...

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Heuristic Rule Learning

Heuristic Rule Learning

... of rule learn- ...theless, rule learning is hard to analyze from a statistical point of view due to its combinatorial complexity or the heuristic search ...of rule learning that are ...

235

Rule learning by rats

Rule learning by rats

... Table 1. Illustration of the three rules and mean rate (per min.) of food tray entries in each group to both reinforced (RF) and non-reinforced (NRF) rules on the first and last block of training. Each group received ...

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CHARACTERISTICS OF DISSOCIABLE HUMAN LEARNING-SYSTEMS

CHARACTERISTICS OF DISSOCIABLE HUMAN LEARNING-SYSTEMS

... The assumption that learning in some of these tasks (e.g., artificial grammar learning) is predominantly based on rule abstraction is questionable. When subjects cannot report the "i[r] ...

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A New Rule-weight Learning Method based on Gradient Descent

A New Rule-weight Learning Method based on Gradient Descent

... use rule- weight as a simple mechanism to tune the classifier and propose a new learning method to iteratively adjust the weight of fuzzy ...The rule-weights in the proposed method are derived by ...

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A Rule Based Approach for Implementing the Marketing Decision Model

A Rule Based Approach for Implementing the Marketing Decision Model

... developments coming up every other day to help human beings in different ways and simplify their life. Fuzzy Logic is one such development. Probability and Fuzziness deal with uncertainty about information. But both ...

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Learning SQL for Database Intrusion Detection using Context-sensitive Modelling

Learning SQL for Database Intrusion Detection using Context-sensitive Modelling

... • Rule based vectors consider ancestor context • Tree/Graph Kernel functions approach in. Machine Learning[r] ...

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Problem based learning

Problem based learning

... for learning than more ‘‘traditional’’ methods of medical education, then there is plenty of evidence to support this: PBL learners feel they are being treated as mature professionals who are developing effective ...

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Rule  and Learning based Methods for Bridging Resolution in the ARRAU Corpus

Rule and Learning based Methods for Bridging Resolution in the ARRAU Corpus

... a rule- based approach following Hou et al. (2014) and a learning-based ...the rule-based system suggests many referen- tial bridging pairs, ARRAU contains mostly lexical ...the ...

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