What is the latest technology in advanced machine learning ( AML), beside Natural Language Processing and Neural Network?
Subscribe to Journal of Machine learning (jmlr.csail.mit.edu) - they send you an e-copy of the quarterly publication; you will (obviously get the idea of current research by reading the abstracts). Some of the broad topics are Integrated machine learning, Machine learning in affective modeling,
Dear Syed,
Much thanks for your links...I will have a look into the resources you have referred.
Best,
Sidharta
Get registered for a Course in ML @ coursera.org by Andrew Ng. Its good. You even get certificate after completion of the course.
Thanks Srivatsa for your reference. no actually i meant new research work being done on advanced models of machine learning. Syed also mentioned some course above, but what I am looking for is new breakthroughs, papers, journal articles, etc. not exactly course materials. Thanks anyway to both of you.
Some people at the University of Washington are working towards merging statistical learning with first order logic. The paradigm is called markov logics. I think that they have applied their approach to several machine learning domains.
You can find more information regarding the topic and Alchemy, a tool that implements the whole framework, in http://alchemy.cs.washington.edu/
I hope it is helpful
Thanks Victor for your reference. great site as i was looking something on Markov models...
Best,
Sidharta
Subscribe to Journal of Machine learning (jmlr.csail.mit.edu) - they send you an e-copy of the quarterly publication; you will (obviously get the idea of current research by reading the abstracts). Some of the broad topics are Integrated machine learning, Machine learning in affective modeling,
you can try Multi layer perceptron , FLANN , SVM. It is advisable to optimize ur result with some nature inspired method such ACO, PSO etc.
Much thanks Dr. Scholtes for your references. in fact I am going through the previous paper you referred above, A Practical Guide to Support Vector Classification- Which is interesting. Just trying to differentiate between fine and coarse grid search techniques mentioned in the paper, but one needs the SVM software i suppose. The statistical approach I find I saw its application somewhere previously which I can't remember exactly...
Best Regards,
Sidharta
Multilayer SVM is a new development in Machine Learning. You see if it interests you.
You may want to check Dr. Andrew Ng website:
https://www.coursera.org/
He is currently offering a Machine Learning course as a part of Stanford University Coursera program.
Another good venue to start exploring the topic is IEEE Transactions on Neural Networks and Learning Systems:
http://ieeexplore.ieee.org/xpl/RecentIssue.jsp?punumber=5962385
Good Luck,
Soheil
There's a deep-learning methodology being used by researchers nowadays. This seems to be giving pretty nice results compared to the existing methods. Prof Andrew Tao's team also maintains this wiki which gives tutorials on ramping up on this topic. The wiki is here: http://deeplearning.stanford.edu/wiki/index.php/Main_Page
For a system that can learn anything, have a look at "robot brain"
www.intelligent-systems.com.ar/intsyst/robotBrain.htm
- Badges
- Science topic