oktober 09, 2007
Lite länkar till videoföreläsningar 20071009
En dump av videoföreläsningar sparade i Bloglines. Allt har inte setts men verkar skoj av en eller annan orsak.
* Decision Science News R video tutorial number 2.
* En samlig av vetenskapliga experiment av mer vardagligt slag finns på Robert Krampf's Science Videos.
* KDD 2007 The 13th International Conference on Knowledge Discovery and Data Mining (en massa föreläsningar). För den delen finns det flera andra föreläsningar på videolecures.net såsom AAAI-07 AI Video Competition och PASCAL Bootcamp in Machine Learning.
* David Henderson, Charles Hooper Making Great Decisions
The phrase "work smarter, not harder" has been repeatedly ridiculed in Dilbert and ... all » elsewhere, not because it is a poor idea, but because it is thrown like a brick lifesaver to drowning employees. It's like telling someone to be happier, healthier, and richer. What people need is a plan for doing so.
In "Making Great Decisions" the authors show readers how to achieve their objectives. They offer a better way to look at problems so that solutions are easier to find.
Speaker: David R. Henderson, Ph.D. David R. Henderson is an economics professor at the Naval Postgraduate School in Monterey and a research fellow with the Hoover Institution at Stanford. He was a senior economist with President Reagan's Council of Economic Advisers.
Speaker: Charles L. Hooper Charles L. Hooper is President and co-founder of Objective Insights, Inc., a consulting firm dedicated to providing health care companies with marketing and financial analysis to help them make informed decisions about their business opportunities.
* Ross Anderson Searching for Evil
Computer security has recently imported a lot of ideas from economics, psychology and ... all » sociology, leading to fresh insights and new tools. I will describe one thread of research that draws together techniques from fields as diverse as signals intelligence and sociology to search for artificial communities.
Evildoers online divide roughly into two categories - those who don't want their websites to be found, such as phishermen, and those who do. The latter category runs from fake escrow sites through dodgy stores to postmodern Ponzi schemes. A few of them buy ads, but many set up fake communities in the hope of having victims driven to their sites for free. How can these reputation thieves be detected?
Some of our work in security economics and social networking may give an insight into the practical effects of network topology. These tie up in various ways with traffic analysis, long used by the signals intelligence agencies which trawl the airwaves and networks looking for interesting targets. I'll describe a number of dubious business enterprises we've unearthed. Recent advances in algorithms, such as Newman's modularity matrix, have increased the robustness of covert community detection. But much scope remains for wrongdoers to hide themselves better as they become topologically aware; we can expect attack and defence to go through several rounds of coevolution. I'll therefore end up by talking about some strategic issues, such as the extent to which search engines and other service providers could, or should, share information in the interests of wickedness detection.
Speaker: Ross Anderson Ross Anderson is one of the top security researchers in the world.
* Philip Chan Learning Rules for Anomaly Detection
Anomaly detection has the potential to detect novel attacks, however, keeping the false ... all » alarm rate low is a challenging task. We discuss the LERAD algorithm that can learn concise and accurate rules for anomaly detection and demonstrate its effectiveness in network and host datasets. We will also discuss our recent work (KDD 07) on weighting versus pruning during the rule validation.
If there is more time, I can also talk about:
As mobile devices become more pervasive, we study the problem of spatial-temporal anomaly detection for identifying potential abuse. We discuss the STAD algorithm and show its performance on a cell phone dataset.
* Geoffrey West Scaling Laws In Biology And Other Complex Systems
Life is very likely the most complex phenomenon in the Universe manifesting an ... all » extraordinary diversity of form and function over an enormous range. Yet, many of its most fundamental and complex attributes scale with size in a surprisingly simple fashion. For example, metabolic rate (the power required to sustain the system) scales as approximately the 3/4-power of mass over 27 orders of magnitude from molecular levels up to the largest multicellular organisms. Similarly, time-scales, such as lifespans and growth-rates, increase with exponents which are typically simple powers of 1/4. It will be shown how these universal quarter-power scaling laws follow from fundamental generic principles embedded in the dynamics and geometry of underlying networks, leading to a general quantitative theory that captures essential features of many diverse biological systems. Examples will include animal and plant vascular systems, growth, cancer, aging and mortality, sleep, DNA nucleotide substitution rates. These ideas will be extended to discuss social organisations such as cities and firms: to what extent, if at all, can we think of these as very large organisms and therefore as an extension of biology? Analogues to metabolic rate and behavioral times in cities scale counter to their behaviour in biology. Driven by innovation and the creation of wealth this has dramatic implications for their growth, development, sustainability and pace of life which, left unchecked, potentially sow the seeds for their collapse.
Geoffrey West is a theoretical physicist whose primary interests have been in fundamental questions in physics, especially those concerning the elementary particles, their interactions and cosmological implications. Prior to joining the Santa Fe Institute as a Distinguished Professor in 2003, he was the leader, and founder, of the high energy physics group at Los Alamos National Laboratory, where he is one of only approximately ten Senior Fellows. «
Face blindness (technically known as prosopagnosia) is a condition in which people with otherwise normal vision cannot discriminate one ... all » face from another. They may not be able to pick out their own husband or children in a crowded room or even themselves in a mirror. One woman reported she once had to crinkle her face in a crowded rest room to discriminate herself from others in the mirror. This problem can occur through injury to particular areas within the brain (either through head trauma, stoke or surgery), but it can also occur developmentally. In the latter case, the brain appears completely normal, yet developmental prosopagnosics (DP) have never learned to accurately discriminate faces.
There is a large scientific body of work on face perception published in the psychological, social and neurobiological literature, and I will highlight some of the more important findings. I will then discuss work from my own laboratory on perceptual processing of faces; emphasizing training methods we have developed to help individuals with DP identify faces, sometimes for the first time in their lives. This discussion will be complemented by inclusion of documented neurobiological and cognitive changes that accompany the emergence of face recognition abilities.
Earn the basics of word formation in English, get "raw materials" for new words, and invent ... all » your own word (and have it critiqued) before you let it loose into the English language. The maker of the "best new word" (as voted on by the participants) will win a new dictionary.
Kanhända är urlen till Searching for evil fel. Kanhända är det bara så att den tillhör en organisation som inte vill bli hittad...
Posted by: Simon at oktober 10, 2007 09:05 EM
Dina kanhändor är inte alls oplausibla, Simon. Snarare tvärtom eftersom allting är möjligt med länkar och/eller vissa typer av organisationer.
Men än mer kanhända är att det var en slarvigt utförd copy-paste-operation vid anteckningens nedskrivande.
Tack för påpekandet. Det (ja, naturligtvis inte påpekandet utan den däri utpekade felaktigheten) är naturligtvis justerat.
Posted by: Håkan Kjellerstrand at oktober 10, 2007 09:29 EM