This is a continuation of my previous blog post. In that post, we discussed about why we need conditional random fields in the first place. We have graphical models in machine learning that are widely used to solve many different problems. But Conditional Random Fields (CRFs) address a critical problem faced by these graphical models. … Continue reading What Are Conditional Random Fields?
Category: Machine Learning
Why Do We Need Conditional Random Fields?
This is a two-part discussion. In this blog post, we will discuss the need for conditional random fields. In the next one, we will discuss what exactly they are and how do we use them. The task of assigning labels to a set of observation sequences arises in many fields, including computer vision, bioinformatics, computational … Continue reading Why Do We Need Conditional Random Fields?
Derandomization Of RANSAC
Let's say you are a clothes designer and you want to design a pair of jeans. Since you are new to all this, you go out and collect a bunch of measurements from people to see how to design your jeans as far as sizing is concerned. One aspect of this project would be to … Continue reading Derandomization Of RANSAC
Expectation Maximization
Probabilistic models are commonly used to model various forms of data, including physical, biological, seismic, etc. Much of their popularity can be attributed to the existence of efficient and robust procedures for learning parameters from observations. Often, however, the only data available for training a probabilistic model are incomplete. Missing values can occur which will … Continue reading Expectation Maximization
Robot Vs Turing
In one of my previous blog posts, we discussed about measuring computer's intelligence and how we can use the Turing test for it. After Turing proposed that test, a lot of people realized its importance and started working on it. People really wanted to believe that machines are indeed capable of thinking. We need a … Continue reading Robot Vs Turing
The Genesis Of Genetic Algorithms
Let's say you have a function and you want to optimize it. In real life, this function can take many forms like choosing the right set of features for your car while keep the price low, picking the best possible apartment considering all the different factors like location, rent, closeness to stores etc, making a … Continue reading The Genesis Of Genetic Algorithms
Can Machines Be Truly Independent?
In my previous blog post, we discussed about how we can measure a computer's intelligence. When we talk about machine intelligence, what exactly are we talking about? Are we just talking about machines mimicking the human ways and mannerisms in the best possible way? No matter what the machines do, they are still following a … Continue reading Can Machines Be Truly Independent?
Can We Measure A Computer’s Intelligence?
People talk about artificial intelligence all the time. Artificial intelligence is the branch of study which deals with putting intelligence into the machines so that they can do things by themselves. But how do we know if they are getting intelligent? For us humans, we have designed various kinds of IQ tests to measure our … Continue reading Can We Measure A Computer’s Intelligence?
Bayesian Classifier
In machine learning, classification is the process of identifying the category of an unknown input based on the set of categories we already have. A classifier, as the name suggests, classifies things into multiple categories. It is used in various real life situations like face detection, image search, fingerprint recognition, etc. Some of the tasks are … Continue reading Bayesian Classifier
What Does Backpropagation Mean?
People started working on artificial intelligence back in the late '60s. After they came up with the concept of perceptron, this field looked very promising. But as the years passed by, no significant development took place even after making several attempts from multiple directions! As people were beginning to lose hope, backpropagation came into picture … Continue reading What Does Backpropagation Mean?
Perpetual Enigma 