MLC

(redirected from Machine Learning Classifier)
AcronymDefinition
MLCMulti-Level Cell
MLCMaritime Labour Convention (International Labour Organization)
MLCMachine Learning Classifier (algorithm)
MLCMyosin Light Chain
MLCMidlife Crisis (slang; also an Ohio band)
MLCMetropolitan Learning Center (various locations)
MLCMartin Luther College (New Ulm, MN)
MLCMedico-Legal Case
MLCMainland China
MLCMid-Life Crisis
MLCMultileaf Collimator
MLCMulti Link Control Field
MLCMulti Level Coding
MLCMulti Layer Coating
MLCMulti Level per Cell
MLCMini Line Card
MLCMedium Level Controller
MLCMulti Layer Chip
MLCMulti Layer Cell
MLCMarketing Leadership Council
MLCMovement for the Liberation of Congo (Congolese rebel group)
MLCMethodist Ladies' College (Australia)
MLCMath Learning Center
MLCMeat and Livestock Commission (United Kingdom)
MLCMontessori Learning Center (various locations)
MLCMinimal Link Condition (linguistics)
MLCMississippi Library Commission
MLCMedical Licensing Council (Biafra)
MLCMultilayer Ceramic
MLCMichigan Library Consortium
MLCMacrophage-Like Cell
MLCMultilayer Coating (chemical materials)
MLCMixed Lymphocyte Culture
MLCManitoba Lotteries Corporation
MLCMidland Lutheran College (now Midland University; Fremont, NE)
MLCMulti-Loop Controller
MLCMember of Legislative Council
MLCModels of Life Contingencies (mathematics)
MLCMaximum Likelihood Classification
MLCMaximum Load Current (electricity)
MLCMetal-Ligand Complex
MLCMedical Licentiates Consortium
MLCMilitary Load Classification
MLCMost Likely Case (risk assessment)
MLCMerrill Lynch Canada
MLCMissouri Loves Company (tournament)
MLCMaintenance and Logistics Command
MLCMaster Labor Contract
MLCMoray Leisure Centre (UK)
MLCMobile Location Centre (GSM, CDMA, mobile communications)
MLCMonthly License Charge
MLCMajor Landing Craft (US Navy)
MLCMeters/Liquid Column
MLCMobile Launcher Computer
MLCMid-Grade Learning Continuum (US Army)
MLCMargate Language Centre (UK)
MLCManagement Leadership Conference
MLCMonarchist League of Canada
MLCMailing List Committee (various organizations)
MLCMortgage Loan Company (real estate finance)
MLCMixed Low Copper
MLCMegalencephalic Leukoencephalopathy with Subcortical Cysts
MLCMulti-Level Coding
MLCMasonic Leadership Center
MLCMidwife Led Care (healthcare)
MLCMilitary Liaison Committee
MLCMedical Licensing Commission (UK)
MLCMarianist Lay Communities
MLCMultiple Logical Channel
MLCMultimedia Language Center (various universities)
MLCMain Lobe Clutter (radar)
MLCMemory Load Command
MLCMorgan Library Collection
MLCMinistry of Lectors and Commentators (Catholicism)
MLCMulticultural Leadership Council
MLCMissouri Lottery Commission
MLCMedical Law Consultant
MLCMilirat Landing Craft (US Navy)
MLCMailing List Code
MLCMyanma Language Commission (Myanmar)
MLCMulti-Link Control
MLCModular Loop Carrier
MLCMain Lobe Cancellation
MLCMen's Last Choice
MLCMagnetic Leader Card (NASA)
MLCMobile Liaison Cell
MLCMissile Launch Console
MLCMissile to Launcher Contactor
MLCManagement Level Chart/Code
MLCMad Life Crisis (band)
MLCChief Molder (Naval Rating)
References in periodicals archive ?
The machine learning classifier needs numerical matrices to perform sentiment classification.
To find the best machine learning classifier, we also conduct a comparison between supervision methods.
SVM is used as the machine learning classifier, and the whole feature set with 28079 combined permissions and APIs is used to select.
The accuracy of the Artificial Immune system based machine learning classifier (grid search with 10-fold cross validation) is 99.87.
RF is a machine learning classifier frequently used for malware detection studies in the Android environment [30, 31].
Among the sliding window detection technique, the work of Papgeorgiou and Poggio [19] adopted Haar wavelets representation coupled with a polynomial SVM as the machine learning classifier.
The decision theory-based approach [4, 5, 9] generally uses a statistical or machine learning classifier, such as Bayesian classifiers, Hidden Markov Models (HMMs), Recurrent Neural Networks (RNNs), genetic algorithms, micro-clusters, etc.
Sequences of attention and cognitive workload estimates derived from the EEG signals were used to train a Support Vector Machine ([SVM], a machine learning classifier) to predict the outcome of the problem: correct or incorrect answer.
During the past few years, support vector machine (SVM), a supervised machine learning classifier [6, 8], has emerged as one of the most powerful pattern classification methods [5, 9], and it has become a state of the art in many classification tasks, such as object and face recognition [10], genome sequencing [11, 12], and handwritten recognition [13].
It can be performed using different approaches, one of them as proposed in [21] is based on extracting triplets from text to obtain semantic structure of a document feeding features to a machine learning classifier trained to classify triplets for being included in the document summary or not.
The proposed technique was validated to generate adversarial data from valid examples of handwritten digits and PDF text files while using various machine learning classifiers, including linear classifiers, support vector machines, and neural network classifiers.
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