The output weighting method again yields the
Class-Separability Weighting and Bootstrapping in Error Correcting Output Code Ensembles
... A method for applying weighted decoding to error-correcting output code ensembles of binary classifiers is ...This method is sensitive to the target class in that a separate weight is computed for ...
10
OPTIMAL WEIGHTING FACTOR FOR SINGLE-STEP TRAPEZOIDAL METHOD
... Crank-Nicolson method has the best ...optimal weighting factor of single-step method has the best accuracy shown in Figure ...Galerkin method is the closest ...forward method are out of ...
6
A Simple and Successful Shrinkage Method for Weighting Estimators of Treatment Effects
... Trimming Again we estimate the propensity scores using a probit model and shrink it with the λs chosen by the three different methods we ...with weighting and doubly robust ...particular method ...
35
A method of weighting adjustment for survey data subject to nonignorable nonresponse
... which again is a subclass of the log-linear models (Forster and Smith, ...a method of moment conditional to the sample, which depends on only the nonresponse ...The method is thus valid regardless of ...
14
A Novel Text Classifier Using Supervised and Unsupervised Term Weighting Method
... 3. 'consensus' — Consensus rule The default behavior is to use majority rule. That is, a sample point is assigned to the class the majority of the k nearest neighbors is from. Use 'consensus' to require a consensus, as ...
7
An Intelligent Algorithm based Controller for Multiple Output DC-DC Converters with Voltage Mode Weighting Factor
... for weighting factor approach is proposed to a three output forward DC-DC ...between output voltage (V o ) and input signal (DC-DC converter duty cycle, d(s)) that has been produced through state ...
10
API Retrieval Method Using TFIDF Based on Cosine similarity Weighting Scheme
... the output as 100% efficient in the performance case as the statement is description is same when the user queries are passed into the system the efficient is not as much as the expected being the data is not ...
5
Optimization of the Directivity of a Monopulse Antenna with a Subarray Weighting by an Hybrid Differential Evolution Method
... As a second case, the sum pattern excitations have been obtained by considering a Dolph-Tschebyscheff array with 2N = 20 elements of spacing d = λ/2 and SLL = −20 dB. The control parameters of the DE algorithm have been ...
8
Method For Calculating Output Voltage Tolerances in Adjustable Regulators
... Equation 1 can be modified to include the effects of the unwanted adjust pin current. (11) This equation applies to both circuits. For both circuits, the polarity of I adj is positive, however, the direction of flow is ...
8
Reducing Over Weighting in Supervised Term Weighting for Sentiment Analysis
... 4.2 Experiment 2: Comparisons Existing Methods Against Their Regularized Versions We also compare the performances of some representative supervised methods, i.e., didf, dsidf, dsidf’, dbidf, dbidf’, rf, and mi against ...
9
A Supervised Term-Weighting Method and its Application to Variable Extraction from Digital Media
... This means that they are good discriminators, offering a mechanism to ensure high precision, although usually at the expense of low recall. Other terms, such as sales, growth and business achieve a balance between ...
14
Centroid Localization of Uncooperative Nodes in Wireless Networks Using a Relative Span Weighting Method
... Our results are deemed accurate within ± 3 meters in a 95% confidence interval. Figures 3 and 4 plot the average location error for each tested algorithm, given all defined node densities, for frequencies 2.4 GHz and 5.8 ...
10
A Weighting Inversion Method of Spectrum Induced Polarization
... resistivity method (CR), is widely used in environmental and engineering, mineral and land pollution exploration, and based on the difference of electrochemical properties between rocks and ...this method ...
12
Effect of Climate Variability on Output and Yields of Selected Crops in Kenya
... 78 and mid elevation were more vulnerable to climate change compared to those in higher elevations. The optimum temperature for tea cultivation was found to be 22 0 C while optimum rainfall varied from 223 mm to 417 mm ...
275
A troposphere tomography method considering the weighting of input information
... a method with which to determine the two types of weight- ings mentioned ...the method ensures that the posterior unit weight variances are in a stable equilibrium based on an iterative ...
14
Research of Feature Weighting Method Based on Document Structure
... 2.3 Analysis on weight computing method The above algorithms are analyzed. It can be found that TF item is used for distinguishing among documents in computation. IDF, CHI and information entropy belong to overall ...
6
Bearing Fault Diagnosis Based on CEMDAN Energy Weighting Method
... resonance method can enhance the amplification of weak information through the resonance of nonlinear ...above method can better extract weak fault impact components in a strong noise environment, but the ...
8
Determination of Scholarship Recipients Using Simple Additive Weighting Method
... One method that can be used for Decision Support System is by using Fuzzy MADM (Multi Attribute Decision ...FMADM method in the case. This method is chosen because it is able to select the best ...
10
A multistage selective weighting method for improved microwave breast tomography
... selective weighting method to improve the reconstruction quality of breast dielectric properties and minimize the computational cost of microwave breast ...proposed method is evaluated on MRI-derived ...
28
Simple Additive Weighting Method In The Triage Decision Support System
... a method commonly used in determining a patient's emergency when entering an emergency ...the method requires experience and adequate knowledge about ...Additive Weighting (SAW) method which ...
5