I must write some code for Explanation Based Learning technique of machine learning. Do you have any recommendations or any code samples. It can be a very small application. It does not matter. I need only a small piece of code. I prefer C# code. ...
Hello, I'm doing a university project, that must gather and combine data on a user provided topic. The problem I've encountered is that Google search results for many terms are polluted with low quality autogenerated pages and if I use them, I can end up with wrong facts. How is it possible to estimate the quality/trustworthiness of a pa...
I am working on a project with RL & NN I need to determine the action vector structure which will be fed to a neural network.. I have 3 different actions (A & B & Nothing) each with different powers (e.g A100 A50 B100 B50) I wonder what is the best way to feed these actions to a NN in order to yield best results? 1- feed A/B to inpu...
Hi, everybody. I am entirely new to the topic of classification algorithms, and need a few good pointers about where to start some "serious reading". I am right now in the process of finding out, whether machine learning and automated classification algorithms could be a worthwhile thing to add to some application of mine. I already sca...
I am trying to use Multi-Layer NN to implement probability function in Partially Observable Markov Process.. I thought inputs to the NN would be: current state, selected action, result state; The output is a probability in [0,1] (prob. that performing selected action on current state will lead to result state) In training, I fed the in...
Does increasing the number of test cases training data in case of Precision Neural Networks may led to problems (like over-fitting for example)..? Does it always good to increase test cases training data number? Will that always lead to conversion ? If no, what are these cases.. an example would be better.. Thanks, ...
What kind of search does ID3 perform? ...
In terms of Artificial Intelligent and Logic Knowledge, What is the difference between sound and unsound reasoning? Also, what kind of search Does ID3 algorithm use? Is it Breadth-first search? Thanks ...
Consider the instance space consisting of integer points in the x, y plane, where 0 ≤ x, y ≤ 10, and the set of hypotheses consisting of rectangles (i.e. being of the form (a ≤ x ≤ b, c ≤ y ≤ d), where 0 ≤ a, b, c, d ≤ 10). What is the smallest number of training examples one needs to provide so that the Find-S algorithm perfectly learn...
Hi , I am doing a question on Candidate Elimination Algorithm. I am a little confused with the general boundary G. Here is an example, I got G and S to the fourth case, but I am not sure with the last case. Sunny,Warm,Normal,Strong,Warm,Same,EnjoySport=yes Sunny,Warm,High,Strong,Warm,Same,EnjoySport=yes Rainy,Cold,High,Strong,Warm,...
How do you find the negative and positive training data sets of Haar features for the AdaBoost algorithm? So say you have a certain type of blob that you want to locate in an image and there are several of them in your entire array - how do you go about training it? I'd appreciate a nontechnical explanation as much as possible. I'm new t...
I'm using libsvm for multi-class classification of datasets with a large number of features/attributes (around 5,800 per each item). I'd like to choose better parameters for C and Gamma than the defaults I am currently using. I've already tried running easy.py, but for the datasets I'm using, the estimated time is near forever (ran ...
I'm using libsvm and the documentation leads me to believe that there's a way to output the believed probability of an output classification's accuracy. Is this so? And if so, can anyone provide a clear example of how to do it in code? Currently, I'm using the Java libraries in the following manner SvmModel model = Svm.svm_train(...
When you're using Haar-like features for your training data for an Adaboost algorithm, how do you build your data sets? Do you literally have to find thousands of positive and negative samples? There must be a more efficient way of doing this... I'm trying to analyze images in matlab (not faces) and am relatively new to image processing...
Hi, I'm having sort of an issue trying to figure out how to tune the parameters for my perceptron algorithm so that it performs relatively well on unseen data. I've implemented a verified working perceptron algorithm and I'd like to figure out a method by which I can tune the numbers of iterations and the learning rate of the percept...
can anyone tell me what is the weak hypotheses generated during boosting? ...
I am trying to implement a naive bayseian approach to find the topic of a given document or stream of words. Is there are Naive Bayesian approach that i might be able to look up for this ? Also, i am trying to improve my dictionary as i go along. Initially, i have a bunch of words that map to a topics (hard-coded). Depending on the occ...
Is it a good practice to use sigmoid or tanh output layers in Neural networks directly to estimate probabilities? i.e the probability of given input to occur is the output of sigmoid function in the NN EDIT I wanted to use neural network to learn and predict the probability of a given input to occur.. You may consider the input as Stat...
I read different documents how CRF(conditional random field) works but all the papers puts the formula only. Is there any one who can send me a paper that describes about CRF with examples like if we have a sentence "Mr.Smith was born in New York. He has been working for the last 20 years in Microsoft company." if the above sentence i...
Hello I am wondering what algorithm would be clever to use for a tag driven e-commerce enviroment: Each item has several tags. IE: Item name: "Metallica - Black Album CD", Tags: "metallica", "black-album", "rock", "music" Each user has several tags and friends(other users) bound to them. IE: Username: "testguy", Interests: "python", ...