learning algorithm

Boosting is an attempt to enhance the accuracy of any given learning algorithm for the general approach.

A learning algorithm using gradient descent method is not easy to implement in an electronic circuit and has local minimum.

Before learning algorithm and classification system able to be used on text, this to be transformed into a proper representation.

The key of a good ensemble learning algorithm is able to generate the diversity of individual learners.

Instances show that this kind of algorithm is deterministic learning algorithm.

Q learning algorithm is one of the most popular reinforcement learning algorithms, but the algorithm exist some problems.

the software used to help computer enthusiasts Ant learning algorithm to do the ant colony algorithm tests.

Now reinforcement learning is widely used in agent system, among which Q-learning algorithm is widely used reinforcement learning algorithm.

A conventional D-type learning algorithm is studied for a class of iterative learning control systems with control delay.

All of the cases of air combat were unified in a whole frame, the hybrid learning algorithm was adopted to train the network.

And a machine learning algorithm was proposed to handle the assignment of secondary accent.

A sort of incremental learning algorithm for support vector machine based on clustering was proposed.

Finally select Extended Rival Penalized Competitive Learning algorithm as the paper's RBF learning algorithm.

Based on the infrared feature database of the scene, a machine learning algorithm is applied to realize the IR scene real-time simulation.

The rank learning algorithm based on the decision tree is able to process categorical data and select relative features.

For this purpose the learning algorithm takes experiences from the past to devise a probability-based hypothesis as a decision fundament.

Meanwhile, the paper first attempted to apply the improved manifold learning algorithm to the hospital performance evaluation.

The models established needs further improvement and validation by sample addition and adjusting machine learning algorithm.

We integrate the Sparse Bayesian Learning algorithm into the SMC blind receiver to improve the performance under sparse channels.

Support vector machines (SVM), a power machine learning algorithm, were applied to the self-learning of FLC.

First, the momentum wheel's reliability model is built using various kind of prior information by Bayesian network learning algorithm.

For incremental learning and large-scale learning problems, a fast incremental learning algorithm for the SVM was proposed.

In this paper, we develop a kernel based reinforcement learning algorithm, which solve the problems with continuous state spaces directly.

The discounted least squares (DLS) principle is borrowed to construct the learning algorithm of DLS-RBF based upon squared error criterion.

This means that any learning algorithm requires some kind of "bias" to distinguish between these plausible outcomes.

In this paper, an incremental tensor subspace learning algorithm is proposed to model and update the object appearance in tensor subspace.

Describes the structure of the model, discrete data fitting method by the expansion of function orthogonal basis and learning algorithm.

Implements both a model-producing learning algorithm and the prediction operations of the resulting model.

The paper proposed an instance-based learning algorithm for the conducting of some intelligence management on embedded component.

For the complexity of data and the deep relationship of semantic, a Lie Group deep structure learning algorithm is proposed.

Support vector AAM based iterative learning algorithm for gender classification .

n section 3 the particular reinforcement learning algorithm used in this architecture is described.

Support Vector Machine is a new machine learning algorithm for classification and regression question.

for a balanced training set, it proposes an entropy-based semi-supervised learning algorithm. 3.

Simulation shows that the learning algorithm has a fast convergence speed and good stability.

A new geometric fast incremental learning algorithm for support vector machines (SVM) was proposed.

We propose a new fuzzy neural network structure and its learning algorithm based on the expansion radial direction base network.

The real genetic algorithm, a global maximum method, was applied to improve the learning (algorithm) of BP.

For the above reasons, the extended Kalman filter is proposed as RBF learning algorithm, and the biradial function is used in hidden layer.

In one embodiment, the machine learning algorithm generates a Bayesian network.

In this paper, a learning algorithm based on the sequential predict error method (SPE) for a multilayered neural network (MNN) is derived.

Based on the quadratic form indicators of the single neuron learning algorithm for adaptive control algorithm, can refer to!

The improved Q learning algorithm was suggested because of the traditional algorithm has limitations of slow and partial constringency .

Based on the in-deep research on inductive learning theory, a rule learning algorithm is applied in building the intrusion detection model.

BVM(Ball Vector Machine)is a faster machine learning algorithm than SVM.

Based on the idea of standard back-propagation(BP) learning algorithm, an improved BP learning algorithm is presented.

A learning algorithm based on Lyapunov stability is derived to fuzzy relational model identification in this paper.

The expression and auto implicit learning algorithm of user profile based on user search histories are given in this paper.

When there is statistical difference between training set and test set, robust learning algorithm should be used.

As a result, the basic learning algorithm to generate the graphics is a master computer graphics.

So an improvement SVM learning algorithm is proposed based on circular iterative algorithm.

Then, a multi-agent Q-learning algorithm integrated with simulation is developed to solve the job-shop problem.

Will you design a new neural network learning algorithm, or add a cool sound effect? The PDK makes personalization rewarding and fun.

The combinational equivalence check methods based on recursive learning algorithm are discussed.

Based on conventional BP algorithm, a modified BP learning algorithm is proposed.

An inductive learning algorithm C4. 5 is used to predict the class distribution of object-contour segments.

Will you design a new neural network learning algorithm, or add a cool sound effect?

When we play chess, do we use a learning algorithm or brute force.

The less informative features not only make the learning algorithm weaker, but also conceal the intrinsic characteristic behind the dataset.

Later in this article. Weight modification follows a learning rule. One idealized learning algorithm goes something like this

Realization and Analysis of the General Multi-concept Learning Algorithm

High speed learning algorithm for a multilayer feedforward neural network and its application

Efficient Learning Algorithm for a Wavelet Neural Network and its Application

A Manifold Learning Algorithm in a State of Sparse Source Data

A Learning Algorithm of Neural Network Used for Boolean Logic Design

A Real- time Neural Network Learning Algorithm Adapt to the Initial Alignment of Inertial Navigation System

Improvement to a Dependency Analysis Based Bayesian Network Learning Algorithm and Experiments

An Approximation Mechanism of Multilayer Feedforward Network and Its Learning Algorithm of Topology

A Kalman Filter Learning Algorithm for Multilayer Quadratic Neural Networks and Its Convergence Analysis

The Universal Approximation Theory and Learning Algorithm of Hierarchical Hyperboloid Function Link Artificial Neural Networks

A fast learning algorithm of feedforward neural networks and its application to system identification

A Fast Learning Algorithm for Feedforward Neural Networks and Its Application in Deposit Forecasting

Hybrid Computation Intelligent Learning Algorithm and Applications in System Identification

Reinforcement learning algorithm for partially observable Markov decision processes

An iterative learning algorithm for boundary control of a stretched moving string

Vector base learning algorithm and its application to identification modeling

Applications and Analysis for the Features of the Machine Learning Algorithm with Limited Samples

High Attribute Dimensional Sparse Clustering Recurrent Logical Neural Networks Model and Learning Algorithm

New SVM incremental learning algorithm and application in traveling information classification

An Improved Sequential Minimal Optimization Learning Algorithm for Regression Support Vector Machine

Learning Algorithm of Hierarchical Functional Network and Its Application in Time Series Analysis

An Incremental Learning Algorithm for Support Vector Machine and its Application

A Reinforcement Learning Algorithm for Partially Observable Markov Decision Processes

An approach to optimize cancer chemotherapy using population based incremental learning algorithm

Study on an Average Reward Reinforcement Learning Algorithm

Research on incremental learning algorithm with multiple support vector machine classifiers

A Neural work with Fast Learning Algorithm and Its Application to System Identification

Probability-based fault detection method and its learning algorithm

A Study of Ensemble Learning Algorithm for Classification

Self-Organized Learning Algorithm of the Radial Basis Probabilistic Neural Network

Application of Population-based Incremental Learning Algorithm in Solving Code Covering Problem

A Genetic-synergetic Learning Algorithm under Unbalanced Attention Parameters

Study of optimization strategy for back propagation learning algorithm based on non- linear prediction method

Managing Buffer Appropriately with the Back Propagation Learning Algorithm

An Improved Wavelet Neural Network Structure and Its Learning Algorithm

The improvement of learning algorithm for BP neural network and its applications

A Truncated Multi-step Prioritized Sweeping Reinforcement Learning Algorithm

New Second-order Learning Algorithm for Neural Networks and Its Application

Discrete Iterative Learning Algorithm of Frequency-Conversion Speed Control System

Incremental and Online Learning Algorithm for Regression Least Squares Support Vector Machine

On Improving Overall Performance of Hybrid Learning Algorithm for Feedforward Neural Networks

Universal Learning Algorithm of Hierarchical Function Networks

An Integrated Perceptron Network and Learning Algorithm for Multi-Class Patterns Recognition

The analysis about two types of machine learning algorithm for intrusion detection techniques

A Wavelet-Based Fuzzy Reasoning Neural Network and Its Learning Algorithm

Robust Cost Function Based Parameter Learning Algorithm for Stochastic Fuzzy Neural Network

Convergence analysis of second order back-propagation learning algorithm for neural network

Max-Min Coding Learning Algorithm for Fuzzy Max-Multiplication Associative Memory Networks

A Rapid Learning Algorithm of Feedforward Neural Network for Identification of Aeroengine Model

Learning algorithm for separable complex-valued functional networks

Robustness of Iterative Learning Algorithm for Industrial Processes

Research on a Tracking Self-learning Algorithm for Behavior-based Fault Diagnosis System

High Speed Learning Algorithm on the BP Neural Networks and Its Application

A Parallelizable Bayesian Ensemble Online Learning Algorithm

Novel Learning Algorithm of Bidirectional Associative Memory

An Accelerated Learning Algorithm for Neural Network with the Cascade-Correlation

Generalization error bound for regularization-based learning algorithm in RKHS

Learning Algorithm for Adaptive Fuzzy System Based on Simulation Annealing and Its Application to Fault Diagnosis

A Layer-Wise Learning Algorithm for Training Multilayer Feedforward Neural Networks

Effects of the learning algorithm on the faulty behavior of feedback neural networks

Research on BP Network Learning Algorithm and Application in Picture Pattern-recognition

Improvement of Learning Algorithm for the Associative Memory System

Improvement and Application of the Learning Algorithm of BP Neural Networks

Adaptive Learning Algorithm for Feedforward Neural Networks

Parametric Estimation in Learning Algorithm for Dynamic Neural Networks

Dynamically Learning Algorithm for Fuzzy Neural Network Structure

Fuzzy-neural Network Control and Its Learning Algorithm

Application of Intensive Learning Algorithm to Inventory Control in Supply Chains

Prior BN Model for Group Samples and Conditional Probabilities Learning Algorithm

Application of incremental learning algorithm of decision tree to fault diagnosis

Bayesian Networks; graphical model; structure learning; scoring functions; K2 learning algorithm; KLdistance; directed ring;

Research of incremental learning algorithm with support vector machine

Multi-strategy learning algorithm for Web information extraction

Online learning algorithm for feedforward neural networks with moving range

Convergence analysis of self-learning algorithm for optimal power shift schedule

Study on a Trust Region Learning Algorithm for Feedforward Neural Networks

Bayesian-network based Regression Tree Learning Algorithm

Application of Learning Algorithm for Neural Networks in Adaptive Kalman Filter

A New Learning Algorithm of Fuzzy Associative Memory Networks with Max-Product Composition

Research on Incremental Learning Algorithm of Support Vector Machine

The Multi-Aggregation Process Neural Networks and Learning Algorithm

An Augmentation Learning Algorithm of Fuzzy Associative Memory

Learning algorithm for feedforward neural networks

A Hybrid Learning Algorithm for Neural Network Based Power System Load Forecasting

A New Supervised Learning Algorithm for Probabilistic Neural Network

A Novel Learning Algorithm for Synergetic Pattern Recognition

Fast learning algorithm for support vector domain description

Incremental Learning Algorithm of Induction

An Incremental BiCovering Learning Algorithm for Constructive Neural Network

Fast learning algorithm with progressive transductive support vector machine

Cluster learning algorithm of synergetic neural network

A Self- adaptive Learning Algorithm for Feedforward Neural Network

Clustering Neuron Model of Peak-subtraction and Learning Algorithm

Lazy learning algorithm for multi-model adaptive control of nonlinear system

A Fast Learning Algorithm of BP Network and Its Application

An adaptive complex communication channel equalization method based on a hybrid learning algorithm

A Feedback Procedure Neural Network Model Based on Walsh Conversion and Its Learning Algorithm

Robust learning algorithm for adaptive fuzzy logical systems

Fast Learning Algorithm of Small Multi-input Fuzzy Neural Network Structure

Chaos BP hybrid learning algorithm for feedforward neural network

An Adaptive Parameters Learning Algorithm for Fuzzy Logic Systems

Research and Application on a Hybrid Learning Algorithm

A Fast Supervised Learning Algorithm of Multilayer Feedforward Network Based on Improved Conjugate Gradient Method

A new dynamic example learning algorithm for classification mining

Study on Fast Learning Algorithm of Legendre Basis Function Neural Network

Fast parameter learning algorithm for fuzzy neural networks

Learning Algorithm for a New Regression SVM

Active Control BP Learning Algorithm for Feed -forward Neural Network

A Fast Incremental Learning Algorithm for Support Vector Machine

An Approach Based on Neural Network's Cascade-correlation Learning Algorithm for Software Reliability Growth Modeling

High Speed Learning Algorithm on the Artificial Neural Networks

Interference Solving Strategy in Multiple Robot System Based on Reinforcement Learning Algorithm

Parameter Learning Algorithm of Fuzzy Logic System with Noisy Inputs

Overview of Agent Learning Algorithm in Economic Complex System

Least square learning algorithm for feed-forward neural network

Fuzzy Neural Network Based on Hybrid Learning Algorithm and Its Application to Soft Sensor

An On-line Learning Algorithm of FIR Neural Network in System Identification

A Min-conflict Weight-learning Algorithm for Graph Coloring Problem

Study on Learning Algorithm of a Kind of Multi-Neural Networks Hybrid Model

Learning Algorithm of Adaptive Information Filtering Based on Hierarchy Clustering

Lunar Probe Path Planning Using Case-Based Learning Algorithm

One On-Line Learning Algorithm of Radial Basis Function Neural Network

A rule learning algorithm on continuous attributes space

Self-Localization Algorithms Based on Manifold Learning Algorithm in Wireless Sensor Networks

A Neural Network Based Self-Learning Algorithm of Image Retrieval

Study on learning algorithm in higher-order neural networks model

Undiscounted Reinforcement Learning Algorithm Based on Performance Potentials

Gene Learning Algorithm and Application to Graph Theory

Hybrid Intelligent Control for Ship Steering Based on Reinforcement Learning Algorithm

Constrained classifier learning algorithm based on genetic algorithm

A New Learning Algorithm for Back-Propagation Neural Networks

A Fast Learning Algorithm of the Fuzzy-Neural-Network

A Novel Learning Algorithm for Mixture Gaussian Models

A Novel Approach to Incremental SVM Learning Algorithm

An Improved Learning Algorithm for RBF Neural Networks

An Improved ART Neural Network Learning Algorithm

A Novel Structure of Wavelet Neural Network and Its Learning Algorithm

A Fast Learning Algorithm of Feedforward Neural Networks Based on Screening Samples Dynamically

Fast Incremental Learning Algorithm Based On Sequential Learning Ahead Masking Model

An Improvement of Learning Algorithm for BP Neural Network

Study on User Profile Learning Algorithm Based on Document Clustering and Feature Weight Adjustment

Design on Reheating Furnace State Recognizer Based on Auto Class and Supervisory Learning Algorithm

Research on Structure Learning Algorithm of Bayesian Networks Based on Niche Genetic Algorithm

Online Learning Algorithm of Neural Network Decoupler Based on Cross-Correlation Function

A Single-Level Immune Learning Algorithm for Anomaly Detection

An Optimization Learning Algorithm Based on Description Complexity

Congestion Control in Networks Based on Reinforcement Learning Algorithm

Hybrid learning algorithm for RBF Neural Network

A High-Efficiency Learning Algorithm of Input Driven BP Neural Network Model

A Fast Learning Algorithm of the Perception

Efficient learning algorithm for Fuzzy bi-directional associative memory based on Lukasiewicz's t-Norm

The Improved Learning Algorithm of Synergetic Neural Networks Based on Gradient Dynamics

An On-Line Structure Learning Algorithm of Belief Network

A Study of EM Learning Algorithm Based on Gaussian Mixture Model

An improved learning algorithm for B-spline networks

An Immune Learning Algorithm Using Real Numeric Code

An Adaptive Learning Algorithm for B-Spline Networks

A Collaborative Learning Algorithm Based on Self-organizing Communities

A parallel learning algorithm based on multiple support vector machine classifiers

Feedforward neural network learning algorithm based on bi-phases weights'adjusting

Based on Self- structure Learning Algorithm Structural Optimization of RBF Network

An Improved Learning Algorithm of Synergetic Neural Networks Based on Gradient Dynamics

The Joint Optimization of BP Learning Algorithm

Fuzzy Neural Network Adaptive Control Based on Fast Parameters Learning Algorithm

A New Learning Algorithm of Fuzzy Self-Tuning Controllers

An initiative knowledge learning algorithm based on system uncertainty

New and Quick Learning Algorithm of Wavelet Network

A Robust Learning Algorithm for RBF Neural Networks

A Stock Forecasting System Based On A Reinforcement Learning Algorithm

Fast incremental learning algorithm of linear support vector machine based on hull vectors

New learning algorithm for feed-forward neural network based on objective back-propagation

A Reinforcement Learning Algorithm Based on Recursive Least-squares Methods

A Nonlinear Learning Algorithm for BP Networks

Largest Error Learning Algorithm of BP Network

Optimality Cost Relative Value Iteration Q-Learning Algorithm Based on Finite Samples

Vector quantization based on competitive learning algorithm with equidistortion

Full-words Automatic Word Sense Tagging Based on Unsupervised Learning Algorithm

Learning algorithm of procedure neural network based on orthogonal function base

Neural network control of underwater vehicles based on robust learning algorithm

A Hybrid Learning Algorithm for RBF Neural Networks Based on Support Vector Machines and BP Algorithms

A Multi-agent Cooperative Reinforcement Learning Algorithm Based on Team Markov Game

Learning Algorithm Selection in Meta-Learning and the Effect of Correlation

BP network learning algorithm based on chaos immune particle swarm optimization

A Learning Algorithm of Fuzzy Associative Memories Based on a Class of T-Norm Operations

Study on Adaptive Fuzzy Control System Based on Gradient Descent Learning Algorithm

A Novel Learning Algorithm of Synergetic Neural Networks Based on Gradient Dynamics

A Self-adaptive Learning Algorithm for BP Network

A New Chaos Learning Algorithm for Feed-Forward Neural Net

Adaptive fuzzy classifier based on table-looking learning algorithm

Weights learning algorithm of facial local feature based on scatter criterion