I am Dave Jing Tian, an Assistant Professor in the Department of Computer Science at Purdue University working on system security. My research involves embedded systems, operating systems, and trusted computing. All opinions are my own.
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Category Archives: AI/ML
I have attended a security conference recently. To my surprise, a great portion of accepted papers use some kind of Machine Learning techniques to achieve certain security targets. While I am NOT going to criticize any of the papers, this … Continue reading
“Building Probabilistic Graphical Models with Python” is the 3rd book I have reviewed from PACKT publishing. It has just been released on this June. Compared to the classic book of PGM – “PGM: Principles and Techniques” by Dr. Koller, this … Continue reading
Prolog is a straight-forward way to implement simple logic rules and do the query of the system. GProlog(gprolog) is the GNU version of Prolog implementation. To leverage the power of gprolog into our system code (C/C++), there are usually 2 … Continue reading
pyCluster is a Python implementation for clustering algorithms, including PAM and CLARA, which are widely used in Data Mining. To better the performance of PAM, parallel PAM is designed and implemented using Parallel Python. The experiment shows that parallel PAM, … Continue reading
Jena API may be the first choice for building Semantic Web applications using Java – parsing RDF and OWL. However, the official Jena document for ontology API (http://jena.apache.org/documentation/ontology/) seems kind of unfriendly with mixing parser and writer part altogether. ‘jop’ … Continue reading
There are some tricky stuffs if you are planning to install nltk for your Python2.7 (Note, only Python 2.x is supported right now) on 64-bit win7 system. Generally, all these awkward trouble are caused by stupid windows installer, which may … Continue reading
1. Studying the root principles of intelligence is much more important than copying the sample. 2. ‘The Logical Structure of the World’, by Rudolf Carnap, 1928, defines a clear process of computing, which is used to extract knowledge from basic … Continue reading
From this post, I will begin the series of blogs for book digest of ‘AI – a modern approach’. I plan it as per chapter per blog (wish everything will goes well). Though I am not sure if this is … Continue reading
Kernel Functions for Machine Learning Applications Published Wednesday, March 17, 2010 by César Souza in C#, Mathematics, Statistics In recent years, Kernel methods have received major attention, particularly due to the increased popularity of the Support Vector Machines. Kernel functions … Continue reading