Error correcting output codes
Optimizing linear discriminant error correcting output codes using particle swarm optimization
... Escalera et al. extended the DECOC algorithm with the use of sub-classes [7]. According to this technique we use a guided problem dependent procedure to group the classes and split them into subsets with respect to the ...
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Fast Reinforcement Learning with Large Action Sets Using Error-Correcting Output Codes for MDP Factorization
... introduce error-correcting output codes (ECOCs) in this setting and pro- pose two new methods for reducing complexity when using rollouts-based ...
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Discriminant ECOC: a heuristic method for application dependent design of error correcting output codes
... We introduced a new algorithm, discriminant ECOC, for designing compact error correcting output codes. The result is a multiclass classifier that runs faster—since it uses fewer ...
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Optimizing subclass discriminant error correcting output codes using particle swarm optimization
... Abstract— Error-Correcting Output Codes (ECOC) reveal a common way to model multi-class classification problems. According to this state of the art technique, a multi-class problem is ...
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Mutual information measures for subclass error-correcting output codes classification
... Abstract. Error-Correcting Output Codes (ECOCs) reveal a common way to model multi-class classification problems. According to this state of the art technique, a multi-class problem is ...
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Subclass problem-dependent design for error-correcting output codes
... Abstract—A common way to model multiclass classification problems is by means of Error-Correcting Output Codes (ECOCs). Given a multiclass problem, the ECOC technique designs a code word for ...
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Quantum error-correcting output codes
... Because the mapping of arbitrary codewords in the test vectors space onto the codeword contained in M is many to one, the ECOC coding/decoding pro- cess has an intrinsic error correction property. A subset of the ...
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On Nearest-Neighbor Error-Correcting Output Codes with Application to All-Pairs Multiclass Support Vector Machines
... The binary learner was the SVM with either the polynomial K (x, y) = (x · y + δ) E or Gaussian radial-basis function (RBF) K (x,y) = e −γ||x−y|| 2 kernel. 5 We used the same SVM parameters for all binary classifiers of a ...
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Parallel error-correcting output codes classification in volume visualization
... For the classification problem we propose a general framework of supervised statisti- cal classification methods to label on-demand multiple regions of interest (see Fig. 3.1). This provides an interactive ...
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Pruning of Error Correcting Output Codes by optimization of accuracy–diversity trade off
... on error- correcting theory, which assumes that errors are ...the error correlation depends on the data set, base clas- sifier as well as the code ...reduce error cor- ...of error ...
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Pruning of Error Correcting Output Codes by optimization of accuracy–diversity trade off
... 3, error rates and running time in seconds (given in paren- thesis) are compared with different pruning methods REP and KP, ACEC in [10], SDP in [47] that are adapted to ECOC and further random guessing results ...
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Scaling Conditional Random Fields Using Error Correcting Codes
... training. Error correcting output codes (ECOC) (Dietterich and Bakiri, 1995) are used to train a community of CRFs on binary tasks, with each discriminating between a subset of the labels and ...
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A text classification framework based on optimized error correcting output code
... Random codes were theoretically studied in [9], showing that the condition to obtain an optimal Bayes is to have equidis- tance between each pair of codewords, when the random code is large enough the ECOC ...
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A Promising Solution for Comparison of Data Coded With Error-Correcting Codes
... The butterfly-formed weight accumulators (BWAs) based hamming distance computing circuit to improve the latency and complexity is used. The block diagram of this proposed architecture is shown in Fig.9. It contains BWA ...
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A Novel Architecture for Matching of Data Encoded with an Error-Correcting-Codes Technique
... Xor bank represents the array of bit-wise comparators (exclusive OR gates). It performs XOR operations for every pair of bits in X and Y so as to generate a vector representing the bitwise difference of the two ...
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On obtaining pseudorandomness from error correcting codes
... the error-correcting properties of the Reed-M¨ uller code to obtain the correct evaluation of the symbol before moving on to predict the ...the output length via the contradiction that we hope to ...
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Capacity Achieving Forward Error Correcting Codes
... The algorithm is extendable to infinite output channels by using a quantization algorithm. The initialization of the algorithm involves the AWGN channel quantization to µ symbols, which takes an additional O(µ) ...
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FPGA Implementation of 3 bits BCH Error Correcting Codes
... FPGAs provide a number of advantages over fixed-function Application Specific Integrated Circuit (ASIC) technologies such as standard cells. ASICs are designed for specific application , and once manufactured, they ...
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Comparative Analysis of Error Correcting Codes for Noisy Channel
... decoder output that produces the original transmitted ...of error correcting codes linear block codes and convolutional ...Block codes process the information on a block by block ...
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A STUDY & VHDL IMPLEMENTATION OF REED SOLOMON ERROR CORRECTING CODES
... the output of the encoder after a desired latency, where control logic feeds it back through an adder to produce the related ...the output enables only the input data path, while keeping the parity path ...
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