Suppose there are bags of unlabeled data and I try to learn the positive instances from those bags. I know there are lots of bag based classification algorithms but my region of interest is positive instance selection based methods like MI-SVM.
Given the unlabelled data, I try to uncover positive instances as defining the classifier.
I know one of the application of Deterministic Annealing to Multiple instance learning over Random Forests.
I want to cool Natural Gas from 195 Kelvin to 138 Klevin in a heat exchanger by using liquid nitrogen as the coolant medium. When entering the heat exchanger, the liquid nitrogen will have a...
01 March 2021 6,450 5 View
I have a tank which contains natural gas at 250 Bar and 293 Kelvin. I want to cool the gas in a dry-ice cooling bath to about 195 Kelvin. The gas will flow in a copper-tube through the bath with a...
27 February 2021 8,128 1 View
Hi Guys. I'm a mechanical engineer and have a bit trouble, would be very glad if you could help me with my questions. I have a pressurized tank which contains Natural Gas at 200 Bar and 293...
26 February 2021 6,253 3 View
Within the scope of my Ph.D. thesis, I want to determine the thermal distribution, melt pool, and melting/solidification processes in the relevant region by melting metal surfaces with a laser...
27 September 2020 5,097 3 View
Hello everyone, When I have tried to solve quick example on Ansys, iterations took too much time and I think my CPU behaved strangely. The frequency is stable but the CPU %use is waving between...
16 March 2019 7,055 3 View
I hope to find some recent works on LVQ a.k.a supervised SOM networks and successful applications.
18 December 2013 5,422 3 View
I am looking for a dataset to test my possible solution for being comparative with the former methods. What dataset could be a great candidate?
20 October 2013 2,629 3 View
I have a lot of data and classes waiting for classification. I have two different ideas in my mind. Use of kernel approximation or high dim. features with linear classifiers. Is there anyone who...
22 September 2013 211 2 View
The problem is finding discriminating instances of a dataset to reduce the noise and increase the representatives of the given dataset.
19 August 2013 9,612 1 View
Monolithic catalysts are mainly used to absorp NOx or any other environmental unfriendly particles in the exhaust. For a industrial scale chemical synthesis, nowadays the commonly used types of...
01 January 1970 4,923 3 View
Hiiiii everyone! I have an enquiry on statistical analysis. I was looking for many forum and it's still cannot solve my problem. I want to compare means of two groups of data but only with two...
03 March 2021 8,796 3 View
What Characteristics makes CNN work better?
03 March 2021 1,458 4 View
i would to know some of the research gaps in the artificial intelligence field in most african countries.
03 March 2021 6,145 3 View
I have selected brain tumor images ...but now found that already lots of research done n this topic.
03 March 2021 5,774 3 View
What's the best way to measure growth rates in House sparrow chicks from day 2 to day 10? Since, the growth curve from day 2 to 10 won't be like the "Logistic curve" it might not follow logistic...
03 March 2021 1,401 3 View
dear community, my model is based feature extraction from non stationary signals using discrete Wavelet Transform and then using statistical features then machine learning classifiers in order to...
03 March 2021 6,994 5 View
I looking for ferro calcium production process
03 March 2021 1,755 4 View
I feel that the practice in teacher education in my country is below the expected performance level due to very poor management system. Hope I will learn something from your experiences.
02 March 2021 1,516 4 View
NFL theorem is valid for algorithms training in fixed training set. However, the general characteristic of algorithms in expanded or open dataset has not been proved yet. Could you show your...
01 March 2021 1,189 3 View
L1 and L2 regularization
28 February 2021 4,187 3 View