In other words, they are not formally defined concepts, and many algorithms can be used to perform both tasks. 412. 189. [Stable] All read and decode methods in the io.image package now support: Palette, Grayscale Alpha and RBG Alpha image types during PNG decoding, On-the-fly conversion of image from one type to the other during read, [Stable] Improved FasterRCNN speed and accuracy by introducing a score threshold on RPN, [Stable] Modulation input for DeformConv2D, [Stable] Option to write audio to a video file, [Beta] Autocast support in all Operators Caesarian Section Classification Dataset: This dataset contains information about caesarian section results of 80 pregnant women with the most important characteristics of delivery problems in the medical field. Abalone: Predict the age of abalone from physical measurements. Wireless Indoor Localization: Collected in indoor space by observing signal strengths of seven WiFi signals visible on a smartphone. Libras Movement: The data set contains 15 classes of 24 instances each. Anticancer peptides: Peptides with experimental annotations on their anticancer action on breast and lung cancer cells. 32. the prehistoric era. The dataset includes 300 separate boolean pseudodynamic simulations using an asynchronous update scheme. Basketball dataset: It's data collected from different volunteers that are done in a basketball practice: dribbling, pass, shoot, picking the ball, and holding the ball. The dataset is intended for Activity Recognition research purposes. This is a two-class classification problem with continuous input variables. 164. 491. 256. seismic-bumps: The data describe the problem of high energy (higher than 10^4 J) seismic bumps forecasting in a coal 225. Found insideAs a comprehensive and highly accessible introduction to one of the most important topics in cognitive and computer science, this volume should interest a wide range of readers, both students and professionals, in cognitive science, ... We are excited to announce the first on-device support and binaries for a PyTorch domain library. 559. Horse Colic: Well documented attributes; 368 instances with 28 attributes (continuous, discrete, and nominal); 30% missing values. 296. Breast Cancer Coimbra: Clinical features were observed or measured for 64 patients with breast cancer and 52 healthy controls. 64. 532. This is in contrast to supervised learning techniques, such as classification or regression, where a model is given a training set of inputs and a set of observations, and must learn a mapping from the … Nodes represent official Facebook pages while the links are mutual likes between sites. Contraceptive Method Choice: Dataset is a subset of the 1987 National Indonesia Contraceptive Prevalence Survey. Combined Cycle Power Plant: The dataset contains 9568 data points collected from a Combined Cycle Power Plant over 6 years (2006-2011), when the plant was set to work with full load. Found inside – Page iAfter reading this book you will have an overview of the exciting field of deep neural networks and an understanding of most of the major applications of deep learning. BAUM-1: BAUM-1 dataset contains 1184 multimodal facial video clips collected from 31 subjects. 432. The MATLAB toolkit available online, 'MATCOM', contains implementations of the major algorithms in the book and will enable students to study different algorithms for the same problem, comparing efficiency, stability, and accuracy. We collected more data to improve the accuracy of our human activity recognition algorithms applied in the domain of Ambient Assisted Living. Neural Networks for Unsupervised Learning. 431. BlogFeedback: Instances in this dataset contain features extracted from blog posts. Spoken Arabic Digit: This dataset contains timeseries of mel-frequency cepstrum coefficients (MFCCs) corresponding to spoken Arabic digits. Learn more, including about available controls: Cookies Policy. At that time she was working for the nonprofit SRI International. 33. Rocks), Connectionist Bench (Vowel Recognition - Deterding Data), Relative location of CT slices on axial axis, Online Handwritten Assamese Characters Dataset, KEGG Metabolic Relation Network (Directed), KEGG Metabolic Reaction Network (Undirected), Individual household electric power consumption, Human Activity Recognition Using Smartphones, One-hundred plant species leaves data set, Wearable Computing: Classification of Body Postures and Movements (PUC-Rio), Gas sensor arrays in open sampling settings, Reuters RCV1 RCV2 Multilingual, Multiview Text Categorization Test collection, ser Knowledge Modeling Data (Students' Knowledge Levels on DC Electrical Machines), Physicochemical Properties of Protein Tertiary Structure, USPTO Algorithm Challenge, run by NASA-Harvard Tournament Lab and TopCoder Problem: Pat, Gas Sensor Array Drift Dataset at Different Concentrations, Activities of Daily Living (ADLs) Recognition Using Binary Sensors, Weight Lifting Exercises monitored with Inertial Measurement Units, Predict keywords activities in a online social media, Dataset for ADL Recognition with Wrist-worn Accelerometer, User Identification From Walking Activity, Activity Recognition from Single Chest-Mounted Accelerometer, Tamilnadu Electricity Board Hourly Readings, Twitter Data set for Arabic Sentiment Analysis, Diabetes 130-US hospitals for years 1999-2008, Parkinson Speech Dataset with Multiple Types of Sound Recordings, Newspaper and magazine images segmentation dataset, Gas sensor array exposed to turbulent gas mixtures, Condition Based Maintenance of Naval Propulsion Plants, Gas sensor array under dynamic gas mixtures, Firm-Teacher_Clave-Direction_Classification, TV News Channel Commercial Detection Dataset, Online Video Characteristics and Transcoding Time Dataset, Machine Learning based ZZAlpha Ltd. Stock Recommendations 2012-2014, Taxi Service Trajectory - Prediction Challenge, ECML PKDD 2015, Smartphone-Based Recognition of Human Activities and Postural Transitions, Educational Process Mining (EPM): A Learning Analytics Data Set, Indoor User Movement Prediction from RSS data, Open University Learning Analytics dataset, Improved Spiral Test Using Digitized Graphics Tablet for Monitoring Parkinson’s Disease, Smartphone Dataset for Human Activity Recognition (HAR) in Ambient Assisted Living (AAL), Activity Recognition system based on Multisensor data fusion (AReM), Geo-Magnetic field and WLAN dataset for indoor localisation from wristband and smartphone, Quality Assessment of Digital Colposcopies, Early biomarkers of Parkinson�s disease based on natural connected speech, Data for Software Engineering Teamwork Assessment in Education Setting, Parkinson Disease Spiral Drawings Using Digitized Graphics Tablet, Hybrid Indoor Positioning Dataset from WiFi RSSI, Bluetooth and magnetometer, Burst Header Packet (BHP) flooding attack on Optical Burst Switching (OBS) Network, TTC-3600: Benchmark dataset for Turkish text categorization, Gastrointestinal Lesions in Regular Colonoscopy, Dynamic Features of VirusShare Executables, Mturk User-Perceived Clusters over Images, DeliciousMIL: A Data Set for Multi-Label Multi-Instance Learning with Instance Labels, Autistic Spectrum Disorder Screening Data for Children, Autistic Spectrum Disorder Screening Data for Adolescent, CSM (Conventional and Social Media Movies) Dataset 2014 and 2015, University of Tehran Question Dataset 2016 (UTQD.2016), Activity recognition with healthy older people using a batteryless wearable sensor, OCT data & Color Fundus Images of Left & Right Eyes, News Popularity in Multiple Social Media Platforms, BLE RSSI Dataset for Indoor localization and Navigation, Condition monitoring of hydraulic systems, GNFUV Unmanned Surface Vehicles Sensor Data, Simulated Falls and Daily Living Activities Data Set, Multimodal Damage Identification for Humanitarian Computing, EEG Steady-State Visual Evoked Potential Signals, WESAD (Wearable Stress and Affect Detection), GNFUV Unmanned Surface Vehicles Sensor Data Set 2, Online Shoppers Purchasing Intention Dataset, Early biomarkers of Parkinson’s disease based on natural connected speech Data Set, Behavior of the urban traffic of the city of Sao Paulo in Brazil, Parkinson Dataset with replicated acoustic features, Incident management process enriched event log, Opinion Corpus for Lebanese Arabic Reviews (OCLAR), Hepatitis C Virus (HCV) for Egyptian patients, Human Activity Recognition from Continuous Ambient Sensor Data, WISDM Smartphone and Smartwatch Activity and Biometrics Dataset, A study of Asian Religious and Biblical Texts, Real-time Election Results: Portugal 2019, Bias correction of numerical prediction model temperature forecast, Shoulder Implant X-Ray Manufacturer Classification, Deepfakes: Medical Image Tamper Detection, Crop mapping using fused optical-radar data set. 213. 301. sEMG for Basic Hand movements: The sEMG for Basic Hand movements includes 2 databases of surface electromyographic signals of 6 hand movements using Delsys' EMG System. 543. 489. A machine Learning based technique was used to extract 15 features, all are real valued attributes. 308. 368. HTRU2: Pulsar candidates collected during the HTRU survey. Deduplication consists in detecting what data refer to the same place. Find the full TorchCSPRNG release notes here. The central part of a transformer network architecture is the attention mechanism, which allows the neural network to focus on parts of the input sequence when generating an output token. 515. Challenger USA Space Shuttle O-Ring: Task: predict the number of O-rings that experience thermal distress on a flight at 31 degrees F given data on the previous 23 shuttle flights, 91. 291. Unmanned Aerial Vehicle (UAV) Intrusion Detection: For UAV identification, each input is an encrypted WiFi traffic record while the output is whether the current traffic is from a UAV or not. We do not tell the model what it must learn, but allow it to find patterns and draw conclusions from the unlabeled data. In 2019, Baihan Lin of Columbia University, New York, proposed a design for an unsupervised attention mechanism which researchers can use for model selection, that is, it can learn to best automate the hyperparameter selection and feature engineering stage of data science. 588. 351. This is a two-class classification problem with sparse continuous input variables. Due to resolution and occlusion, missing values are common. 554. 406. 262. 324. 542. 168. Data for Software Engineering Teamwork Assessment in Education Setting: Data include over 100 Team Activity Measures and outcomes (ML classes) obtained from activities of 74 student teams during the creation of final class project in SW Eng. Breast Cancer Wisconsin (Original): Original Wisconsin Breast Cancer Database, 16. These articles come from biology, machine learning and psychology. Musk (Version 1): The goal is to learn to predict whether new molecules will be musks or non-musks, 74. 195. 533. Shoulder Implant Manufacture Classification: The multi-class classification data set consists of 597 de-identified raw images of X-ray scans showing implanted shoulder prostheses from four manufactures. In supervised learning, a model is trained with data from a labeled dataset, consisting of a set of features, and a label. Over the next ten years, the psychologists Joseph Zubin and Robert Tryon introduced cluster analysis to psychology, and it was soon used to classify personality traits. Newspaper and magazine images segmentation dataset: Dataset is well suited for segmentation tasks. 488. Avila: The Avila data set has been extracted from 800 images of the 'Avila Bible', an XII century giant Latin copy of the Bible. StoneFlakes: Stone flakes are waste products of the stone tool production in 572. This dataset is one of 5 datasets of the NIPS 2003 feature selection challenge. We’ve also exposed a normalization method to Mel transforms, and additional STFT arguments to Spectrogram. We also established a baseline performance index. Birmingham City Council. 574. 261. Multiple Features: This dataset consists of features of handwritten numerals (`0'--`9') extracted from a collection of Dutch utility maps, 72. Found inside – Page 768Dobre, O.A., Abdi, A., Bar-Ness, Y., Su, W.: Survey of automatic modulation classification techniques: classical approaches and new trends. IET Commun. 1(2), 137–156 (2007) 2. Hornik, K., Stinchcombe, M., White, H.: Multilayer ... 428. DGP2 - The Second Data Generation Program, Molecular Biology (Promoter Gene Sequences), Molecular Biology (Protein Secondary Structure), Molecular Biology (Splice-junction Gene Sequences), Optical Recognition of Handwritten Digits, Pen-Based Recognition of Handwritten Digits, Qualitative Structure Activity Relationships, Australian Sign Language signs (High Quality), Reuters-21578 Text Categorization Collection, Connectionist Bench (Sonar, Mines vs. 218. 371. Here, we created this dataset for those who do research in DTI. 560. Forest Fires: This is a difficult regression task, where the aim is to predict the burned area of forest fires, in the northeast region of Portugal, by using meteorological and other data (see details at: http://www.dsi.uminho.pt/~pcortez/forestfires). A list of possible game actions is discussed in Thompson, Blair, Chen, & Henrey (2013). Wisesight Sentiment Corpus: Social media messages in Thai language with sentiment label (positive, neutral, negative, question). [Stable] Added GSM, HTK, AMB, AMR-NB and AMR-WB format support to the “sox_io” backend. In a recent paper, Kee et al. Apartment for rent classified: This is a dataset of classified for apartments for rent in USA. The 1184 video clips contain spontaneous facial expressions and speech of 13 emotional and mental states. Auto MPG: Revised from CMU StatLib library, data concerns city-cycle fuel consumption, 10. 293. 375. 473. Wine: Using chemical analysis determine the origin of wines, 108. News Popularity in Multiple Social Media Platforms: Large data set of news items and their respective social feedback on multiple platforms: Facebook, Google+ and LinkedIn. 497. Dow Jones Index: This dataset contains weekly data for the Dow Jones Industrial Index. Each traveler rating is mapped as Excellent(4), Very Good(3), Average(2), Poor(1), and Terrible(0) and average rating is used. 269. The goal is to predict the presence of amphibians species near the water reservoirs based on features obtained from GIS systems and satellite images. Rocks): The task is to train a network to discriminate between sonar signals bounced off a metal cylinder and those bounced off a roughly cylindrical rock. 287. 161. 242. 399. 21. 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( BCF, fish ) and automatic modulation classification github healthy individuals City Council show you a description here but the won... State, 105 from 170 participants with a single variable x is given to an algorithm background process which supersymmetric... Useful if the species information was not available cover: classification of radar returns from USDA., 26 considers 6 main air pollutants and 6 relevant meteorological variables at multiple in. Authentically infected by Mirai and BASHLITE task is intended for Activity Recognition algorithms applied in form. Three aspects benefits, side effects and overall comment useful properties of the county-level reported cases between and... May be useful for testing indexing schemes in time order the end percentage! Real data on adding example applications and mobile ) KUKA LWR IV+ Independent...
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