Learn about the Information Bottleneck Principle (IB).

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# Baeldung Author

## Francisco Yepes Barrera

Master’s Degree in Chemistry. My professional activity was carried out in the field of software development and scientific computation.. My interests focus on some areas of artificial intelligence, mainly neural networks and genetic algorithms. In the past I worked on hybrid neuroevolutionary systems and their application to industrial problems. I am currently working on a neural network optimization model called “Eigen Artificial Neural Networks” which, starting from an analogy with physical quantum-mechanical systems, uses wave mechanics techniques in their study.

## Here's what I've written (so far):

## Baeldung on Computer Science

- All
- Math and Logic (3)
- Machine Learning (3)
- Trees (2)
- Searching (2)
- Networking (2)
- Deep Learning (2)
- Algorithms (2)
- Security (1)
- Data Structures (1)

### Hill Climbing Algorithm

Filed under Algorithms

Learn the characteristics of one of the simplest and best-known optimization algorithms: hill climbing.

### Applications of Red-Black Trees

Filed under Data Structures, Searching, Trees

Learn about important applications of Red-Black trees.

### Calculating the Parity Bit of a Bit Sequence

Filed under Networking

Learn a simple technique for checking errors in the transmission of a binary string

### Calculate Upload/Download Speed Using Ping

Filed under Networking

Learn how we can use ping to measure the bandwidth of a network connection.

### Sine Cosine Algorithm

Filed under Algorithms, Math and Logic

Learn about the sine-cosine algorithm.

### Primality Test: Miller-Rabin Method

Filed under Math and Logic

In this tutorial, we’ll study one of the methods used to verify if n is prime without resorting to factorization: the Miller-Rabin method.

### Understanding Complexity of Cryptographic Algorithms

Filed under Security

Examine computational complexity issues within cryptographic algorithms

### Correlated Features and Classification Accuracy

Filed under Machine Learning, Math and Logic

Learn how correlation phenomena are generally harmful within a predictive method.

### Random Initialization of Weights in a Neural Network

Filed under Deep Learning, Machine Learning

Study weight initialization techniques in artificial neural networks and why they’re important.

### Time Complexity of Searching in a Balanced Binary Search Tree

Explore a binary search tree data structure time complexity.