Questions tagged [algorithm]

For questions about algorithm's that exhibit characteristics of intelligence, or are critical components in systems that exhibit intelligence, and problem-solving and goal-based algorithms in general.

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18 views

How does Hartigan & Wong algorithm compare to Lloyd's and Macqueen's algorithm in K-means clustering?

As far I know, this is how the latter two algorithms work... Lloyd's algorithm Choose the number of clusters. Choose a distance metric (typically squared euclidean). Randomly assign each observation ...
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21 views

Somone can help me to solve this question about the AC-3 algorithm

i was watching this video: https://www.youtube.com/watch?v=4cCS8rrYT14 and I tried to solve this question: "Given the variables A, B, C and D, with domain {1, 2, 3, 4} in each of them and ...
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17 views

Calculating processing time of a deep learning model

My model deals with videos, and I want to calculate how fast it can process frames as in frames per second or processing time for 1 frame. I have made a single function to get predictions, it takes in ...
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17 views

Which method of tree searching should be used for this board game?

Suppose the following properties of a board game: High branching factor in the beginning of the game (~500) which slowly tends towards 0 at the end of the game Evaluation of the any given board ...
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1answer
62 views

Is the size of a neural network directly linked with an increase in its inteligence?

Just came across this article on GPT-3, and that lead me to the question: In order to make a certain kind of neural network architecture smarter all one needs to do is to make it bigger? Also, if that ...
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1answer
64 views

Understand the DDPG algorithm in Keras

I'm trying to understand the DDPG algorithm using Keras I found the site and started analyzing the code, I can't understand 2 things. The algorithm used to write the code presented on the page In the ...
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1answer
45 views

What reinforcement learning algorithm should I use in continuous states?

I want to use reinforcement learning in an environment I made. The exact environment doesn't really matter, but it comes down to this: The amount of different states in the environment is infinite e.g....
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22 views

Algorithm to train a neural network against differentiable and non-differentiable databases?

Let's say I have two databases, $(\mathbf{x_i}, \mathbf{\hat{p_i}})$ and $(\mathbf{x_j}, \mathbf{\hat{q_j}})$. A neural network with weights $\theta$ can receive an input $\mathbf{x}$ and produce an ...
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1answer
85 views

Is my 57% sports betting accuracy correct?

I have been creating sports betting algorithms for many years using Microsoft access and I am transitioning to the ML world and trying to get a grasp on determining the success of my algorithms. I ...
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1answer
46 views

Which kind of data does sigmoid kernel performance well?

While I was playing with some hyperparameters, I came to a wired situation. My dataset is IRIS dataset to be specific. SVM algorithm has some hyperparameters that we can tune, such as Kernels, and C ...
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2answers
135 views

What are the main algorithms used in computer vision?

Nowadays, CV has really achieved great performance in many different areas. However, it is not clear what a CV algorithm is. What are some examples of CV algorithms that are commonly used nowadays and ...
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31 views

Can Reinforcement Learning be used for UAV waypoint control?

I want to make a drone which can follow static and dynamic waypoints. I am a total beginner in the drone field so I can't figure out that should I use Reinforcement Learning or any other learning ...
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51 views

Is subsection generation $O(n^4)$

When I say template matching, I'm referring to finding occurrences of a small image (the template) in a larger image. The OpenCV library provides the trivial solution, that slides the template over ...
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56 views

Can we solve an $8 \times 8$ sliding puzzle using hill climbing?

Can we solve an $8 \times 8$ sliding puzzle using a random-restart hill climbing technique (steepest-ascent)? If yes, how much computing power will this need? And what is the maximum $n \times n$ that ...
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29 views

How to observe or measure convergence of Monte Carlo Tree Search?

As above: how does one observe/measure a Monte Carlo Tree Search to be able to update the algorithm and compare results?
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1answer
39 views

When labelled data is not available, what are some common unsupervised learning algorithms for pattern recognition that can be used?

In pattern recognition systems, when no labeled data is available, what are some common unsupervised learning algorithms for pattern recognition, that can be used?
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25 views

Algorithm which learns to select from proposed options

My goal is to write a program that automatically selects a routing out of multiple proposed options. The data consists out of the multiple proposed options with each the attributes time, costs and ...
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1answer
99 views

In RL, if I assign the rewards for better positional play, the algorithm is learning nothing?

I'm creating an RL application for the game Connect Four. If I tell the algorithm which moves/token positions will receive greater rewards, surely it's not actually learning anything; it's just a ...
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1answer
68 views

Is my backpropagation code correct? [closed]

I am trying to implement the back-propagation algorithm for the following neural network. ...
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1answer
36 views

Non-Neural Network algorithms for large state space in zero sum games

I was reading online that Tic Tac Toe has a state space of 3^9 = 19,683. From my basic understanding, this sounds too large to use with Q Learning, as the Q table would be huge? If that is the case, ...
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25 views

Automated explanation - function results - simple attempt

I used to work as an analyst in a financial project where we had functions $f$ determining the price, and sometimes the inputs $x$ jumped in such a way to produce anomalous results. We had to report ...
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25 views

What algorithm to use for finding artists/bands in text and differentiating between artists that share the same name

Here's the data I have: Text from articles from various music blogs & music news sites (title, summary, full content, and sometimes tags). I used a couple different NLP/NER tools (nltk, ...
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39 views

In machine learning, how can we overcome the restrictive nature of conjunctive space?

In machine learning, problem space can be represented through concept space, instance space version space and hypothesis space. These problem spaces used the conjunctive space and are very restrictive ...
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2answers
98 views

Solving a planning if finding the goal state is part of the problem

I having trouble finding some starting points for solving an occupancy problem which seems like a good candidate for ai. Assume the following situation: In a company I have n cars and m employees. ...
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95 views

Which algorithm to use to solve this optimization problem?

I have items called 'Resources' from 1 to 7. I have to use them in different actions identified from 1 to 10. I can do a maximum of 4 actions each time. This is called 'Operation'. The use of a ...
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1answer
55 views

Giving an AI a purpose to talk

I am trying to teach my AI to talk. The problem is I'm struggling to find a good scenario in which it needs to. Some ideas I had were: "Describe a geometric scene" - Then together with a parser we ...
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Is there an algorithm for “contextual recognition” with probabilities?

Example 1 An object is composed of 3 sub-objects. Object 1: 90% looks like an eye 10% looks like a wheel Object 2: 50% looks like an eye 50% looks like a wheel Object 3: 90% looks like a mouth 10% ...
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2answers
107 views

what will i be able to do in the end of AI: modern approach? [closed]

i just started the book and i was wondering , what will i be able to do in AI by the end of the book ? and more particularly, what is my position with Reinforcement Learning, deep neural networks and ...
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41 views

What ML algorithms would you suggest in fraud detection?

There are a lot of ML algorithms suggested for fraud detection. Now, I have not been able to find a general overview for all of them. My goal is to create this overview. What algorithms would you ...
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1answer
224 views

MCTS: How to choose the final action from the root

When the time allotted to Monte Carlo tree search runs out, what action should be chosen from the root? The original UCT paper (2006) says bestAction in their ...
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1answer
575 views

Deep learning for bitmap tracing: extract simple svg paths from bitmaps

I need an algorithm to trace simple bitmaps which only contain paths with a given stroke width. It is obviously very easy to generate bitmaps from vector paths, so creating data for a machine ...
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2answers
131 views

How to understand the 4 steps of Monte Carlo Tree Search

From many blogs and this one https://web.archive.org/web/20160308070346/http://mcts.ai/about/index.html We know that the process of MCTS algorithm has 4 steps. Selection: Starting at root node R,...
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7answers
7k views

Computationally expensive AI techniques (that are promising)

To produce tangible results in the field of ML/AI, one must take theoretical results under the lens of computational complexity. Indeed, minimax effectively solves any two-person "board game" with ...
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1answer
41 views

Metrics of quality of parameter space exploration

Considering a black box optimization problem on non-linear, non-convex function where we want to minimize an objective function. One way to assess the quality of an optimizer is to look at the best ...
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31 views

I am trying to create a network with dynamic connections for every different training example

I have developed a new algorithm which has dynamic connections. it is based off of the following paper: https://www.researchgate.net/publication/...
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1answer
91 views

Is there any computer vision technology that can detect any type of object?

Is there any computer vision technology that can detect any type of object? For example, there is a camera fixed, looking in one direction always looking at a similar background. If there is an object,...
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16 views

Discover a grammar from a set of phrases

The use case would be to give to digest to an ANTLR variant of, a huge data set of phrases of a language, and hopefully progress to discover a ponderated tree or graph, or some sort of mathematics ...
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1answer
61 views

Is an optimization algorithm equivalent to a neural network?

Is an optimization algorithm equivalent to a neural network?
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39 views

How to approach a problem with infinite solutions

Think Angry Birds kind of game. You need to hit a target at some point by adjusting angle and power. There is infinite number of parabolas that will solve this problem. My problem is not exactly that ...
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1answer
88 views

How to transform a PDDL to search?

I have a question about search and planning: I still haven't understood the difference from the two, but they seem very similar to me; here is a question I am struggling with: "Having formulated a ...
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1answer
50 views

Is the Markov property assumed in the forward algorithm?

I'm majoring in pure linguistics (not computational), and I don't have any basic knowledge regarding computational science or mathematics. But I happen to take "Automatic Speech Recognition" course in ...
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92 views

Railway set artificial inteligence [closed]

P3 A basic wooden railway set contains the pieces shown in Figure 3 The task is to connect these pieces into a railway that has no overlapping tracks and no loose ends where a train could run off onto ...
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80 views

Can AC-3 algorithm solve N-Queens problem?

I am building CSP NQueens solver and apply the AC-3 algorithm.But,the domain reduction doesn't occur and gets more search time.How does it happen?Is it a nature of AC-3 algorithm?
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1answer
237 views

Algorithm that creates new images based on other images

Are there any open sourced algorithms that can take a couple of images as an input and generate a new, similar image based on that input? Or are there any resources where I can learn to create such an ...
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39 views

Action spaces for an RTS game

I think reinforcement learning would be a good fit for this problem, but I am not sure of how to deal with a seemingly infinite number of actions. In the beginning of each game (generic RTS game), the ...
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113 views

Is there research about teaching AI to “analyze the problem and design a solution”?

Update on 2019-05-19: My question is about teaching AI to solve the problem, not letting AI teach a human developer to solve a problem. Original post: I'm a software developer but very new to AI. ...
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1answer
153 views

How to find optimal mutation probability and crossover probability?

I have a genetic algorithm that maximizes a fitness function with two variables f(X,Y). I have been running the algorithm with various parameters in mutation and crossover probability (0.1, 0.2, ...) ...
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1answer
93 views

How do I choose the search algorithm for a particular task?

How do I choose the search algorithm for a particular task? Which criteria should I take into account?
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2answers
78 views

How can the A* algorithm be optimized?

How can the A* algorithm be optimized? Any references that shows the optimization of A* algorithm are also appreciated.
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1answer
64 views

Similarities and differences between UCT algorithms in (i), (ii), (iii) and (iv)?

I am trying to understand the similarities and differences between: (i) the UCT algorithm in Kocsis and Szepesvári (2006); (ii) the UCT algorithm in Section 3.3 of Browne et al (2012); (iii) the MCTS ...