Post tagged: ML

Genetic Algorithm For Kernel Tuning

Scott Swigart points to this article that gives a non-technical overview of the use of genetic algorithms to determine the optimal tuning characteristics of one's Linux Kernel. This ought to work: many years ago I wrote a genetic algorithm that tuned the optimization parameters of one's C++ compiler and it …

Fascinating: Language Exposure Must Be Live, Not Recorded

Infants exposed to a Mandarin-speaking adult for less than 5 hours (25-minute sessions over 4 weeks) were "able to distinguish phonetic elements of that language." Very impressive. But infants exposed to a similar amount of speech delivered over DVD could not. Fascinating. General-audience article here (via The Old New Thing …

Drools (Java-based inference engine) ported to .NET

Drools.NET is a port of the Drools library to .NET. I have a bg, big architectural decision coming up for a client and I am debating about whether to tackle the issue with an inference engine or a scripting language. So I've been looking at Drools pretty closely. It's …

Genetic Algorithms Outperform Humans In...

The Catalogue of Variable Frequency and Single-Resistance-Controlled Oscillators Employing A Single Differential Difference Complementary Current Conveyor which I imagine is self-explanatory to electrical engineers. Silver went to Multiobjective Genetic Algorithms for Multiscaling Excited-State Direct Dynamics in Photochemistry. Bronze prizes went to two things that I could actually understand:  A multi-population …