[PDF] Top 20 Effective Learning Model and activate learning algorithm for improving learning efficiency
Has 10000 "Effective Learning Model and activate learning algorithm for improving learning efficiency" found on our website. Below are the top 20 most common "Effective Learning Model and activate learning algorithm for improving learning efficiency".
Effective Learning Model and activate learning algorithm for improving learning efficiency
... e-learning, learning algorithm, learning function, learning model, learning ef- ficiency, learning behavior ...more and more complex. Many ten years ago, ... See full document
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Effective Learning Curve Model and Activate Media Learning Algorithm for Improving Learning Efficiency
... some learning phenomenon about people with learning curve and proposed an Effective Learning Curve Model to emulate this ...proposed learning function model, we can ... See full document
6
Improving Definite Anaphora Resolution by Effective Weight Learning and Web-Based Knowledge Acquisition
... weight learning and Web-based knowledge acquisition for resolving definite anaphora in Chinese ...acquisition model is proposed to extract gender, number, and semantic compatibility ... See full document
7
A Parallelized Learning Algorithm for Monotonicity Constrained Support Vector Machines
... of improving the effectiveness or efficiency of SVMs, several theoretical studies have been conducted to modify or reformulate the conventional SVM ...framework for primal and dual SVMs, ... See full document
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Implementation of a variable D-H parameter model for robot calibration using an FCMAC learning algorithm
... tedious and time-consuming procedures involved in collecting a large number of measurement data for calibration, an automatic measurement process was ...feasible and time- efficient measurement ... See full document
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An Effective E-Learning System Based on Knowledge Management and Intelligent Agents
... of learning efficiency to find out whether the causes can improve learners’ learning inefficiency by learners’ portfolio and ...learners’ learning information. The difference between ... See full document
6
Learning a Scene Background Model via Classification
... utilize learning methods to identify background ...adopt learning approaches to construct a background block ...by learning from the chosen data. Second, the derived background model fulfills ... See full document
14
Symbiotic Structure Learning Algorithm for Feedforward Neural-Network-Aided Grey Model and Prediction Applications
... the learning process, the NN in the network population is trained by a BP algorithm for ϕ epochs, where ϕ is a user-specified parameter (notably, this algorithm is only applied to the ... See full document
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Learning Efficiency Improvement of Back Propagation Algorithm by Error Saturation Prevention Method
... Howevec the slow conveeence is a serious problem when using this well-known Back Propagation (BP) learning algorithm in many applications. As a result, many researchers t[r] ... See full document
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A generalized version space learning algorithm for noisy and uncertain data
... the learning strategy of version space to manage noisy and uncertain training ...new learning algorithm is proposed that consists of two main phases: searching and ...generates ... See full document
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A generalized version space learning algorithm for noisy and uncertain data
... space learning algorithm that provides more functions than the original learning ...S and G defined in the original version space learning algorithm are modified to provide these ... See full document
5
Convergence time for the linkage learning genetic algorithm
... time for the LLGA when λ = ...detect and process genetic ...crossover, and the linkage learning ...problems and uniformly scaled problems. The first-building-block model was ... See full document
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An Optimal Algorithm for solving the Dynamic Lot-Sizing Model with Learning and Forgetting in Setups and Production
... both learning and forgetting in setups and production into the dynamic lot-sizing model to obtain an optimal production policy, including the optimal number of production runs and the ... See full document
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An Optimal Algorithm for solving the Dynamic Lot-Sizing Model with Learning and Forgetting in Setups and Production
... (MDFDP) algorithm based on two important properties that can be proved to be able to reduce the computational ...illustrated and solved using our refined MDFDP ...ofthe learning or forgetting rates, ... See full document
15
Interactive Location-based Game for Supporting Effective English Learning
... support effective English learning is a critical issue in the English- language education ...game and it has high potential to support context-aware ...English learning system with ... See full document
7
Augmented IFN learning model
... material, and de- termination of the sections of beams and columns in the struc- ...LRFD for steel structures. To satisfy the prescribed constrains and achieve minimum expenditure for ... See full document
8
An exemplar-based learning model for hydrosystems prediction and categorization
... The results show that the model has better performance than the traditional methods and the results demonstrate the power and efficiency of the model for the hy[r] ... See full document
13
Considering Model-based Adaptivity for Learning Objects
... Considering Model-based Adaptivity for Learning Objects Adaptivity for Learning Objects: Adaptive Hypermedia and Simple Sequencing Adaptive Hypermedia (AH) and IMS Simple ... See full document
3
A Learning State Space Model for Image Retrieval
... networks and multiple Internet service provider (ISP) networks, even though the content could have been retrieved from a much closer ...similar and often delivered from distant servers via multiple, ... See full document
12
A probabilistic perceptron learning algorithm
... The proposed algorithm is easily programmed and can drastically decrease the time complexity of learning at the expense of only a little accuracy. Experimental results also show this [r] ... See full document
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