PPT-Rationalizing Neural Predictions

Author : mitsue-stanley | Published Date : 2017-10-27

Tao Lei Regina Barzilay and Tommi Jaakkola EMNLP 16 Feb 9 201 7 Abstract 1 Prediction without justification has limited applicability We learn to extract pieces

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Rationalizing Neural Predictions: Transcript


Tao Lei Regina Barzilay and Tommi Jaakkola EMNLP 16 Feb 9 201 7 Abstract 1 Prediction without justification has limited applicability We learn to extract pieces of input text as justificaitonsrationales . Predictions from the three process model of alertness Aviat Space Environ Med 2004 753 SupplA7583 This paper summarizes a computer model for predicting alertness performance in daily life The model uses the timing of work hours andor sleep hours as 7.5 The student will read and demonstrate comprehension of a variety of fictional texts, narrative nonfiction, and poetry. .. e) Make. , confirm, and revise predictions. . What is a prediction? . A prediction is a forecast or an educated guess of what may happen next. A gyimifosem – The Idiocy of Rationalizing Marijuana Use ( The Negative Effects of Marijuana Up on Melanin ) An article first published in the second issue of: AFURAKA AFURAITKAIT N ANASOM Kong Da, Xueyu Lei & Paul McKay. Digit Recognition. Convolutional Neural Network. Inspired by the visual cortex. Our example: Handwritten digit recognition. Reference: . LeCun. et al. . Back propagation Applied to Handwritten Zip Code Recognition. Machine . Learning. 1. Last Time. Perceptrons. Perceptron. Loss vs. Logistic Regression Loss. Training . Perceptrons. and Logistic Regression Models using Gradient Descent. 2. Today. Multilayer Neural Networks. Chris Ferro (University of Exeter). Tom . Fricker. , . Fredi. Otto, Emma Suckling. 12th International Meeting on Statistical Climatology (28 June 2013, . Jeju. , Korea). Credibility and performance. 3.8 Time Series. What we are looking at now. Very important for Merit AND Excellence!. Fitted vs. Raw. This involves comparing the raw data (black line) with the fitted model (green line).. In particular, we are looking at how well the model fits the data. . Chris Ferro (University of Exeter). Tom . Fricker. , . Fredi. Otto, Emma Suckling. Credibility and performance. Many factors may influence credibility judgments, but should do so if and only if they affect our expectations about the performance of the predictions.. Samuel Schindler. Zukunftskolleg and Department of Philosophy. University of Konstanz. 1. Agenda. Assume that temporal novelty does not have any special weight in theory-appraisal. Review and critique Worrall’s account of use-novelty. Operational Readiness Review. June 12, 2017. <number>. Background. Ongoing implementation of NOAA/NWS National Air Quality Forecast Capability (NAQFC) operationally to provide graphical and numerical guidance, as hourly gridded pollutant concentrations, to help prevent loss of life and adverse health impacts from exposure to poor air quality (AQ). Scatter Plot Review. Using the Regression Line Model to Make Predictions. It’s the responsibility of the news medium to report on important decisions made by newsmakers. Examples include new traffic laws based on the number of accidents, immigration reform based on the number of people emigrating to the U.S., and gas prices based on the supply and demand of oil. These decisions make headlines because of the impact they have on our lives. EPA Office of Air Quality Planning & Standards. Observations. John Nowak, Andy . Neuman. , James Roberts, . Patrick Veres, and Joost de Gouw. National Oceanic & Atmospheric Administration. Jennifer Murphy, Milos Markovic, and . For your needs in sports betting, crowdwisdomsport.live is offering NBA 2023 India odds, betting lines, and point spreads. Mark Hasegawa-Johnson. April 6, 2020. License: CC-BY 4.0. You may remix or redistribute if you cite the source.. Outline. Why use more than one layer?. Biological inspiration. Representational power: the XOR function.

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