Information theory | Clustering criteria

In probability theory and information theory, adjusted mutual information, a variation of mutual information may be used for comparing clusterings. It corrects the effect of agreement solely due to chance between clusterings, similar to the way the adjusted rand index corrects the Rand index. It is closely related to variation of information: when a similar adjustment is made to the VI index, it becomes equivalent to the AMI. The adjusted measure however is no longer metrical. (Wikipedia).

CCSS What is the Angle Addition Postulate

ðŸ‘‰ Learn how to define angle relationships. Knowledge of the relationships between angles can help in determining the value of a given angle. The various angle relationships include: vertical angles, adjacent angles, complementary angles, supplementary angles, linear pairs, etc. Vertical a

From playlist Angle Relationships

ðŸ‘‰ Learn how to define angle relationships. Knowledge of the relationships between angles can help in determining the value of a given angle. The various angle relationships include: vertical angles, adjacent angles, complementary angles, supplementary angles, linear pairs, etc. Vertical a

From playlist Angle Relationships

What is an angle and it's parts

ðŸ‘‰ Learn how to define angle relationships. Knowledge of the relationships between angles can help in determining the value of a given angle. The various angle relationships include: vertical angles, adjacent angles, complementary angles, supplementary angles, linear pairs, etc. Vertical a

From playlist Angle Relationships

From playlist Angle Relationships

Ses 13: Risk and Return II & Portfolio Theory I

MIT 15.401 Finance Theory I, Fall 2008 View the complete course: http://ocw.mit.edu/15-401F08 Instructor: Andrew Lo License: Creative Commons BY-NC-SA More information at http://ocw.mit.edu/terms More courses at http://ocw.mit.edu

From playlist MIT 15.401 Finance Theory I, Fall 2008

CCSS What are supplementary and complementary angles

From playlist Angle Relationships

From playlist Angle Relationships

Nexus Trimester - Terence Chan (University of South Australia) - 1

Fundamental aspects of information inequalities 1/3 Terence Chan (University of South Australia) February 25, 2016 Abstract: Information inequalities are very important tools and are often needed to characterise fundamental limits and bounds in many communications problems such as data t

From playlist Nexus Trimester - 2016 - Fundamental Inequalities and Lower Bounds Theme

Stanford CS330: Deep Multi-task & Meta Learning I 2021 I Lecture 14

For more information about Stanford's Artificial Intelligence professional and graduate programs visit: https://stanford.io/ai To follow along with the course, visit: http://cs330.stanford.edu/fall2021/index.html To view all online courses and programs offered by Stanford, visit: http:/

From playlist Stanford CS330: Deep Multi-Task & Meta Learning I Autumn 2021I Professor Chelsea Finn

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27c3: Terrorists Win - Exploiting Telecommunications Data Retention? (en)

Speakers: Kay Hamacher, Stefan Katzenbeisser Telecommunications data retention (TDR) has become a reality in most Western countries. Protagonists claim that the collection of massive amounts of data on the communication behavior of all individuals within a country would enable law enforce

From playlist 27C3: We come in peace

Geometry of metrics and measure concentration in abstract ergodic theory - Tim Austin

Tim Austin New York University April 30, 2014 Many of the major results of modern ergodic theory can be understood in terms of a sequence of finite metric measure spaces constructed from the marginal distributions of a shift-invariant process. Most simply, the growth rate of their covering

From playlist Mathematics

Nexus Trimester - Thomas Courtade (UC-Berkeley)

Strong Data Processing and the Entropy Power Inequality Thomas Courtade (UC-Berkeley) February 10, 2016 Abstract: Proving an impossibility result in information theory typically boils down to quantifying a tension between information measures that naturally emerge in an operational setti

From playlist Nexus Trimester - 2016 - Distributed Computation and Communication Theme

From playlist Angle Relationships

Christian Jutten - Petite visite guidÃ©e de la sÃ©paration de sources

GIPSA-Lab, Prix Science et Innovation 2016 RÃ©alisation technique : Antoine Orlandi (GRICAD) | Tous droits rÃ©servÃ©s

From playlist Des mathÃ©maticiens primÃ©s par l'AcadÃ©mie des Sciences 2017

The Computer Chronicles - Investment Software (1995)

Special thanks to archive.org for hosting these episodes. Downloads of all these episodes and more can be found at: http://archive.org/details/computerchronicles

From playlist The Computer Chronicles 1995 Episodes

Using complementary angles to find the value of both angles

ðŸ‘‰ Learn how to find the value of an unknown variable in the expressions representing the values of angles given the relationship between the angles. When given expressions representing the values of angles and the relationship between the angle, we make use of the relationship to solve the

From playlist Angle Relationships

Ses 18: Capital Budgeting II & Efficient Markets I

MIT 15.401 Finance Theory I, Fall 2008 View the complete course: http://ocw.mit.edu/15-401F08 Instructor: Andrew Lo License: Creative Commons BY-NC-SA More information at http://ocw.mit.edu/terms More courses at http://ocw.mit.edu

From playlist MIT 15.401 Finance Theory I, Fall 2008

The Computer Chronicles - Personal Finance Software (1996)

Special thanks to archive.org for hosting these episodes. Downloads of all these episodes and more can be found at: http://archive.org/details/computerchronicles

From playlist Computer Chronicles Episodes on Software

CCSS What is the difference between Acute, Obtuse, Right and Straight Angles

From playlist Angle Relationships