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Gail Carpenter
Gail Alexandra Carpenter (born 1948) is an American cognitive scientist, neuroscientist and mathematician. She is now a "Professor Emerita of Mathematics and Statistics, Boston University." She had also been a Professor of Cognitive and Neural Systems at Boston University, and the director of the Department of Cognitive and Neural Systems (CNS) Technology Lab at Boston University. Early life Gail Carpenter is the only daughter of Chadwick Hunter "Chad" Carpenter (1920-1996) and Ruth M. (née Stevenson) Carpenter (1920-2010). She has four brothers. Carpenter attended the International School of Geneva (1961-1966) then went to the University of Colorado in Boulder earning a B.A. in 1970 (summa cum laude, mathematics). She then earned a Ph.D. in mathematics at the University of Wisconsin–Madison. Carpenter then taught at MIT and Northeastern University before moving to Boston University.https://techlab.bu.edu/members/gail/, CNS Technology Website, Accessed 18 January 2022 Ca ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
New York City
New York, often called New York City or NYC, is the List of United States cities by population, most populous city in the United States. With a 2020 population of 8,804,190 distributed over , New York City is also the List of United States cities by population density, most densely populated major city in the United States, and is more than twice as populous as second-place Los Angeles. New York City lies at the southern tip of New York (state), New York State, and constitutes the geographical and demographic center of both the Northeast megalopolis and the New York metropolitan area, the largest metropolitan area in the world by urban area, urban landmass. With over 20.1 million people in its metropolitan statistical area and 23.5 million in its combined statistical area as of 2020, New York is one of the world's most populous Megacity, megacities, and over 58 million people live within of the city. New York City is a global city, global Culture of New ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
International School Of Geneva
The International School of Geneva (in French: ''Ecole Internationale de Genève''), also known as "Ecolint" or "The International School", is a private, non-profit international school based in Geneva, Switzerland. Founded in 1924 in the service of the League of Nations and the International Labour Organization (the world's first international organizations), it is the oldest international school in the world, and the largest one with 'international' in its name. It was the result of a partnership between parents (Arthur Sweetser and Ludwik Rajchman) and educators from the Institut Jean-Jacques Rousseau (Adolphe Ferrière and Paul Meyhoffer). In the mid-1960s, a group of teachers from Ecolint (La Grande Boissière campus) created the International Schools Examinations Syndicate (ISES), which later became the International Baccalaureate Organization (IBO) and then the International Baccalaureate (IB). Since its inception, the school's mission was conceived as educating for peace ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
Supervised Learning
Supervised learning (SL) is a machine learning paradigm for problems where the available data consists of labelled examples, meaning that each data point contains features (covariates) and an associated label. The goal of supervised learning algorithms is learning a function that maps feature vectors (inputs) to labels (output), based on example input-output pairs. It infers a function from ' consisting of a set of ''training examples''. In supervised learning, each example is a ''pair'' consisting of an input object (typically a vector) and a desired output value (also called the ''supervisory signal''). A supervised learning algorithm analyzes the training data and produces an inferred function, which can be used for mapping new examples. An optimal scenario will allow for the algorithm to correctly determine the class labels for unseen instances. This requires the learning algorithm to generalize from the training data to unseen situations in a "reasonable" way (see inductive b ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
Neural Network (machine Learning)
In machine learning Machine learning (ML) is a field of inquiry devoted to understanding and building methods that 'learn', that is, methods that leverage data to improve performance on some set of tasks. It is seen as a part of artificial intelligence. Machine ..., a neural network (also artificial neural network or neural net, abbreviated ANN or NN) is a Machine learning#Models, model inspired by the structure and function of biological neural networks in animal brains. An ANN consists of connected units or nodes called ''artificial neurons'', which loosely model the neurons in a brain. These are connected by ''edges'', which model the synapses in a brain. Each artificial neuron receives signals from connected neurons, then processes them and sends a signal to other connected neurons. The "signal" is a real number, and the output of each neuron is computed by some non-linear function of the sum of its inputs, called the ''activation function''. The strength of the sig ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
