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online weight learning algorithm

Double Updating Online Learning

Double Updating Online Learning

... for online learning that explic- itly addresses this ...of online learning, besides assign- ing a weight to the misclassified example, the proposed online learning ...

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Online Learning of Task specific Word Representations with a Joint Biconvex Passive Aggressive Algorithm

Online Learning of Task specific Word Representations with a Joint Biconvex Passive Aggressive Algorithm

... Aggressive algorithm able to jointly learn an em- bedding matrix along with the weight vector of the model (section ...our learning procedure over any given sequence of examples—the results we give ...

10

An Online Algorithm for Learning over Constrained Latent Representations using Multiple Views

An Online Algorithm for Learning over Constrained Latent Representations using Multiple Views

... For the chunkers we used the CONLL 2000 tagset (23 chunk tags), modified for the five chunking representations of (Shen and Sarkar, 2005). We initialized the weights using a perceptron chun- ker. The chunker-classifier ...

5

Multi objective model selection algorithm for online sequential ultimate learning machine

Multi objective model selection algorithm for online sequential ultimate learning machine

... slow learning speed of ELM algorithm is taken based on the fact that the learning ability of SLFN is only related to the number of hidden layer nodes but independ- ent of the weight of the ...

7

Advanced encryption standard algorithm 
		versus extreme learning machine based weight: A comparative study

Advanced encryption standard algorithm versus extreme learning machine based weight: A comparative study

... A comparative study in terms of security is made among various encryption schemes such as AES, Compression Friendly (CF), Chaotically Coupled Chaotic Map (CCCM) and Bernoulli Map (BM) [3]. It is revealed that each scheme ...

7

Online Learning

Online Learning

... education. Online education provides potential opportunities to open up new markets for higher education ...universities‟ online programs may enhance the interaction between students and instructors, and ...

7

The Development of  Online Learning Media by Using Moodle for General Chemistry Subject

The Development of Online Learning Media by Using Moodle for General Chemistry Subject

... about online learning media by using moodle has been conducted by some researchers, but the research just determine the effect of online learning for some aspects, such as: students’ attitude, ...

8

Fuzzy Model Reference Learning Control For Non-Linear Spherical Tank Process

Fuzzy Model Reference Learning Control For Non-Linear Spherical Tank Process

... Neural Model: The data set used for training is sufficiently rich to ensure the stable operation, since no additional learning takes place after training. During training the NN learns the forward of the level ...

7

Effective online learning [e learning] methodology for corporate employees

Effective online learning [e learning] methodology for corporate employees

... In the present scenario, training is becoming one of the most important human resource & organizational development function for many corporate industries. Many training programs are formulated for 1 day & even ...

5

The End of Isolation

The End of Isolation

... the learning process positively (Abedin, Daneshgur, & D’Ambra, 2010; Sadera, Robertson, Song, & Midon, ...promotes learning (Rourke & Anderson, 2002) while communication skills evolve as ...

11

Intelligent Online e Learning Systems: A Comparative Study

Intelligent Online e Learning Systems: A Comparative Study

... The blackboard [12] is also a web-based online e-learning system. One of the advantages in this system that it used a concept of an Agent. Eventhough its Agent concept is not so effective. It’s a new ...

5

Online Learning in Case of Unbounded Losses Using Follow the Perturbed Leader Algorithm

Online Learning in Case of Unbounded Losses Using Follow the Perturbed Leader Algorithm

... our algorithm for constructing an arbitrage strategy in some game of buying and selling shares of some stock on financial ...theoretic online learning (DTOL) framework (see Freund and Schapire ...

26

Extreme Learning Machine Weights Optimization Using Genetic Algorithm In Electrical Load Forecasting

Extreme Learning Machine Weights Optimization Using Genetic Algorithm In Electrical Load Forecasting

... Extreme Learning Machine method. Extreme Learning Machine method uses random input weight within range -1 to ...input weight. According to the test results with weight optimization, ...

11

Multi Valued Neuron with Sigmoid Activation Function for Pattern Classification

Multi Valued Neuron with Sigmoid Activation Function for Pattern Classification

... The learning algorithm of MVN is reduced to the movement along the unit circle on the complex ...error-correcting learning rule and are ...backpropagation learning rule. We expect the new ...

10

Online Feature Selection (OFS) with Accelerated Bat Algorithm (ABA) and Ensemble Incremental Deep Multiple Layer Perceptron (EIDMLP) for big data streams

Online Feature Selection (OFS) with Accelerated Bat Algorithm (ABA) and Ensemble Incremental Deep Multiple Layer Perceptron (EIDMLP) for big data streams

... mining streaming data, data instances are generated frequently over the time. The issue arises to update the model every time without reloading the entire batch. This frequent updation even becomes very crucial if the ...

20

A Survey on Data Stream and Its Various Techniques

A Survey on Data Stream and Its Various Techniques

... ensemble learning (SSEL) algorithm proposed in [10] for the classification of streaming ...the algorithm is PAC learnable and noise will not degrade the performance of the ...for online ...

6

E-learning: Tools and Technology

E-learning: Tools and Technology

... SAP Education's e-learning courses complement the tried-and-tested classroom-based training, allowing users to improve or maintain their skills by building online learning into their schedules. This ...

11

Maximal Causes for Non-linear Component Extraction

Maximal Causes for Non-linear Component Extraction

... The image comprised stems and blades of grass which occluded each other. As discussed above (see, e.g., Figure 2), the combination rule for such objects may be well approximated by the max rule of the MCA generative ...

41

A Round-robin Scheduling Algorithm of Relaynodes in WSN Based on Self-adaptive Weighted Learning for Environment Monitoring

A Round-robin Scheduling Algorithm of Relaynodes in WSN Based on Self-adaptive Weighted Learning for Environment Monitoring

... enforcement learning is expanded from single agent enforcement ...the learning efficiency, we assume that each agent only considers its own action strategy; others are just considered as a part of ...

6

Classification of Meteorological Satellite Ground System Applications

Classification of Meteorological Satellite Ground System Applications

... clustering algorithm itself is poor genera- lization ability, and the complexity of online learning algorithm is very high, so the application of classification analysis configuration item in ...

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