Adnan Masood, a Machine Learning Phd's musings on Life, Technology, Research & Development
For most researchers in the ever growing fields of probabilistic graphical models, belief networks, causal influence and probabilistic inference, ACM Turing award winner Dr. Judea Pearl and his seminary papers on causality are well-known and acknowledged. Representation and determination of Causality, the relationship between an event (the cause) and a second event (the effect), where…
Recently attended Big Data Event @ Caltech. The topic was Big Data, Big Opportunities: Predicting the Future One Byte at a Time and the panel and speakers didn't disappoint. Following is the slidedeck and pictures from the event.
If you are scouring for an exploratory text in probabilistic reasoning, basic graph concepts, belief networks, graphical models, statistics for machine learning, learning inference, naïve Bayes, Markov models and machine learning concepts, look no further. Dr. Barber has done a praiseworthy job in describing key concepts in probabilistic modeling and probabilistic aspects of machine learning.…
Big Data Event @ Caltech Event Abstract: It’s raining data. Actually, it’s more like a hurricane. Every website, email, SMS text, mouse click, download and online purchase generates data, a lot of data. This data is being assembled into massive data sets and used by scientists, researchers, companies and the government to develop new products,…
S. Abe and T. Inoue. Fuzzy support vector machines for multiclass problems.In ESANN 2002 Proceedings, pages 113-118, 2002. R. Agrawal, T. Imielinski, and A. Swami. Mining association rules between sets of items in large databases. In Proceedings of the 1993 ACM SIGMOD Conference, 1993. A. Alink, C. M. Schwiedrzik, A. Kohler, W. Singer, and L.…
Let's face it, Visual Studio is THE best IDE around. IntelliJ IDEA comes to a close second for Java and Eclipse, it's too generic of a base class. I have been using IDLE for python which is ok until you start missing all the modern IDE features. In continued evolution of Iron Python, Python Tools for Visual Studio…
I thoroughly enjoyed attending the Summer Dissertation Conference @ SCIS NSU and presenting the LaTeX / LyX 101 – A Hands-on BYOL Workshop (Rm. 3032/3034) on day 2. I would like to thank the attendees who participated in the workshop; Hopefully I was able to transfer some of my enthusiasm about LaTeX to you during the session :). Special thanks to Dr. Seagull for…
In the upcoming Summer Dissertation Conference - July 19 - 20, 2012 @ NSU, I will be presentin LATEX / LyX 101 - A Hands-on BYOL Workshop which brings me to the topic of, future of traditional thesis/dissertation as we know it. In the web 2.0 and cloud-computing era, the writing of classic dissertation has also evolved to…
Recently I have been reading few research papers by Dr. Szymon Jaroszewicz, co-author of "Scalable pattern mining with Bayesian networks as background knowledge", "Fast discovery of unexpected patterns in data, relative to a bayesian network" and "Interestingness of frequent itemsets using Bayesian networks as background knowledge". The papers stated that "A copy of the source code is available…
The idea of using of Bayesian Belief Networks in digital forensics to quantify the evidence has been around for a while now. To provide qualitative approaches to Bayesian evidential reasoning in the digital Meta-Forensics is however relatively new in the decision support systems research. For law enforcement, decision support and application of data mining techniques to “soft” forensic evidence is…