PPT-ECE 417 Lecture 9: Gaussians

Author : kittie-lecroy | Published Date : 2018-11-18

Mark HasegawaJohnson 9242018 Contents Gaussian pdf Central limit theorem Brownian motion White Noise Vector of iid Gaussians Vector of Gaussians that are independent

Presentation Embed Code

Download Presentation

Download Presentation The PPT/PDF document "ECE 417 Lecture 9: Gaussians" is the property of its rightful owner. Permission is granted to download and print the materials on this website for personal, non-commercial use only, and to display it on your personal computer provided you do not modify the materials and that you retain all copyright notices contained in the materials. By downloading content from our website, you accept the terms of this agreement.

ECE 417 Lecture 9: Gaussians: Transcript


Mark HasegawaJohnson 9242018 Contents Gaussian pdf Central limit theorem Brownian motion White Noise Vector of iid Gaussians Vector of Gaussians that are independent but not identical. Current techniques for learning such mixtures from data are local search heuris tics with weak performance guarantees We present the 64257rst provably correct algorithm for learning a mixture of Gaus sians This algorithm is very simple and returns t The problem is that this information is oftenly unknown LMS is a method that is based on the same principles as the met hod of the Steepest descent but where the statistics is esti mated continuously Since the statistics is estimated continuously th 11. Assembly Language and . Arduino. Behind the C code (or sketch). C provides a somewhat human-readable interface. but it gets . compiled. into machine instruction set. ultimately just binary (or hex) instructions loaded into the . 4. LCD Text Display. Keypads and Time Slicing. Interrupts. 2×16 LCD . Typically 5×8 dots per character. Note 16 pins: indicator of common interface. Lecture 4. 2. Typical LCD Unit . pinout. pin. function. Assembly Language and . Arduino. Behind the C code (or sketch). C provides a somewhat human-readable interface. but it gets . compiled. into machine instruction set. ultimately just binary (or hex) instructions loaded into the . Pieter . Abbeel. UC Berkeley EECS. Many . slides adapted from . Thrun. , . Burgard. and Fox, Probabilistic Robotics. TexPoint fonts used in EMF. . Read the TexPoint manual before you delete this box.: . Assembly Language and . Arduino. Behind the C code (or sketch). C provides. a somewhat human. -readable interface. but . it . gets . compiled. into machine instruction set. ultimately just binary (or hex) instructions loaded. Sensors. (. always incomplete. ). adapted from T. Murphy’s lectures. Sensing Categories. Voltage. starting easy: analog in. Distance. acoustic or light. Speed. hard; usu. via distance. Acceleration. Assembly Language and . Arduino. Adapted from T. Murphy’s slides. Behind the C code (or sketch). C provides a somewhat human-readable interface. but it gets . compiled. into machine instruction set. 11. Assembly Language and . Arduino. Behind the C code (or sketch). C provides a somewhat human-readable interface. but it gets . compiled. into machine instruction set. ultimately just binary (or hex) instructions loaded into the . LCD Text Display. Keypads and Time Slicing. Interrupts. adapted from . T. Murphy’s . lectures. 2×16 LCD . Typically 5×8 dots per character. Note 16 pins: indicator of common interface. Phys 124: Lecture 4. Pieter . Abbeel. UC Berkeley EECS. Many . slides adapted from . Thrun. , . Burgard. and Fox, Probabilistic Robotics. TexPoint fonts used in EMF. . Read the TexPoint manual before you delete this box.: . the . EM Algorithm. CSE . 6363 – Machine Learning. Vassilis. . Athitsos. Computer Science and Engineering Department. University of Texas at . Arlington. 1. Gaussians. A popular way to estimate . probability density . Analog Handling. Once the microcontroller is managed, it’s often the analog end that rears its head. getting adequate current/drive. signal conditioning. noise/glitch avoidance. debounce. is one example.

Download Document

Here is the link to download the presentation.
"ECE 417 Lecture 9: Gaussians"The content belongs to its owner. You may download and print it for personal use, without modification, and keep all copyright notices. By downloading, you agree to these terms.

Related Documents