Dijkstra’s algorithm, which is perhaps better-known, can be regarded as a variant of uniform-cost search, where there is no goal state and processing continues until all nodes have been removed from the priority queue, i.e. until shortest paths to all nodes (not just a goal node) have been determined http://en.wikipedia.org/wiki/Uniform-cost_search#Relationship_to_other_algorithms
You can use hierarchical clustering. It is a rather basic approach, so there are lots of implementations available. It is for example included in Python’s scipy. See for example the following script: import matplotlib.pyplot as plt import numpy import scipy.cluster.hierarchy as hcluster # generate 3 clusters of each around 100 points and one orphan point … Read more
See my banana-gym for an extremely small environment. Create new environments See the main page of the repository: https://github.com/openai/gym/blob/master/docs/creating_environments.md The steps are: Create a new repository with a PIP-package structure It should look like this gym-foo/ README.md setup.py gym_foo/ __init__.py envs/ __init__.py foo_env.py foo_extrahard_env.py For the contents of it, follow the link above. Details which … Read more
To get the shape as a list of ints, do tensor.get_shape().as_list(). To complete your tf.shape() call, try tensor2 = tf.reshape(tensor, tf.TensorShape([num_rows*num_cols, 1])). Or you can directly do tensor2 = tf.reshape(tensor, tf.TensorShape([-1, 1])) where its first dimension can be inferred.
Yes, it is possible, we can generate regexes from examples (text -> desired extractions). This is a working online tool which does the job: http://regex.inginf.units.it/ Regex Generator++ online tool generates a regex from provided examples using a GP search algorithm. The GP algorithm is driven by a multiobjective fitness which leads to higher performance and … Read more
You can think of it as the Binary Search Algorithm. In each iteration, we ask a question, which should eliminate roughly half of the possible word choices. If there are total of N words, then we can expect to get an answer after log2(N) questions. With 20 question, we should optimally be able to find … Read more
Defeating a bot from the serverside perspective Many online poker sites use popup Captcha inputs that are triggered by suspicious activity. Some poker sites monitor playing times and patterns (i.e., worst case scenario is a player who plays 24×7 and 16 tables continuously, there is a tiny tiny chance this is a real human. (However … Read more
Judging from the existing answers, there seems to be a lot of confusion about this concept. The Problem Is Always a Graph The distinction between tree search and graph search is not rooted in the fact whether the problem graph is a tree or a general graph. It is always assumed you’re dealing with a … Read more
I used to have a lot of fun coding my own robot with Robocode in college. It is Java based, the API is detailled and it’s pretty easy to get a challenging robot up and running. Here is an example : public class MyFirstRobot extends Robot { public void run() { while (true) { ahead(100); … Read more
Breaking symmetry is essential here, and not for the reason of performance. Imagine first 2 layers of multilayer perceptron (input and hidden layers): During forward propagation each unit in hidden layer gets signal: That is, each hidden unit gets sum of inputs multiplied by the corresponding weight. Now imagine that you initialize all weights to … Read more