Adnan Masood, a Machine Learning Phd's musings on Life, Technology, Research & Development
Presented in the IEEE SoutheastCon 2015 Finding Interesting Outliers - A Belief Network based Approach Abstract: Outliers are deviations from the usual trends of data; to discover interestingness among outliers i.e. finding anomalies which are of real-interest for subject matter experts is an active area of research in data mining and maching learning…
Download Paper - NL-ESB - A Negative Latency Enterprise Service Bus
The monadic curse is that once someone learns what monads are and how to use them, they lose the ability to explain it to other people. Excellent lecture. Transcript and Monads for Humans
Here is Prof. Hastie's recent talk from the H2O World conference. In this talk, professor Hastie takes us through Ensemble Learners like decision trees and random forests for classification problems. Other excellent talks from the conference include the following. Michael Marks - Values and Art of Scale in Business Nachum Shacham of Paypal -…
Following the great scholarly acceptance and outstanding academic success of "The Clairvoyant Load Balancing Algorithm for Highly Available Service Oriented Architectures, this year I present P Not Equal to NP - A Definitive Proof by Contradiction. Click here to read the entire paper in PDF. P Not Equal to NP - A Definitive Proof by…
Over a decade ago, Peter Flach of Bristol University wrote a paper on the topic of "On the state of the art in machine learning: A personal review" in which he reviewed several, then recent books, related to developments in machine learning. This included Pat Langley’s Elements of Machine Learning (Morgan Kaufmann), Tom Mitchell’s Machine Learning (McGraw-Hill), and…
Going for a little Benoit B. Mandelbrot recursion joke here with the title. Seth Juarez (github) recently spoke to Pasadena .NET user group on the topic of Practical Machine Learning using nuML. Seth is a wonderful speaker, educator and nuML is an excellent library to get started with machine learning in .NET. His explanations are very intuitive; even…
Abstract: Load balancing allows network devices to distribute workload across multiple processing resources including server clusters and storage devices. This distribution helps maximize throughput, achieve optimal resource utilization, minimize response time and help use hardware effectively in multiple data-center locations. As a meta-heuristic enhancement to Psychic Routing[1], researchers present early work in a novel algorithm…
Last night's LA Machine Learning event on Mining Time Series Data w/ Sylvia Halasz of YP at OpenX Pasadena was quite interesting and well attended. Dr. Halasz spoke about Adaptive Ensemble Kalman Filter and her work on building n-gram correlation with the flu outbreaks. Some of the associated papers follow. The ngram chief complaint classifier: A novel…
Causality, Probability and Time by Dr. Samantha Kelinberg is a whirlwind yet original journey of the interdisciplinary study of probabilistic temporal logic and causal inference. Probabilistic causation is a fairly demanding area of study which studies the relationship between cause and effect using the tools of probability theory. Judea Pearl, in his seminal text "Causality:…