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test assistants: What is the problem with the learning algorithms used for automated theorem testers?

I've searched a lot on Google but I haven't found an automated problem solver / problem solver capable of solving problems like a human.

I am interested in a specific type of tester: learning, such as Support Vector Machines.

Support Vector Machines fails for other tasks such as recommendation systems due to data shortages, that is, in datasets where there are very few or even no cases for some higher order interactions (read parper Multi-view machines for more details).

Support vector machines are used for the selection of premises, but I have not found an explanation as to why it does not work so well.

Question: Do the learning algorithms used for theorem testers suffer from data shortages?

test assistants – Graph of size n with circumference> 2k and minimum degree more than n ^ 1 / k

I am stuck in a test about Graphics in the context of Graph Spanners. A motto says:
Leave $ G $ be a graph with $ n $ vertices and $ m $ edges Yes $ G $ has circumference more than $ 2k $, then $ m leq n ^ {1+ frac {1} {k}} $.
The test is done by contradiction where repeatedly any node of $ G $ grade maximum $ lceil n ^ frac {1} {k} rceil $ and any incident edge to that node is removed, until such a node no longer exists. This step leads to a subgraph $ G & # 39; $ from $ G $ minimum grade over $ lceil n ^ frac {1} {k} rceil $.
The conclusion is that $ G & # 39; $ must have a maximum circumference $ 2k $ and therefore also $ G $, which is a contradiction.

I don't understand the conclusion: why $ G & # 39; $ it has to be circumference at most $ 2k $? So why isn't it possible that $ G $ has circumference more than $ 2k $ and minimum grade over $ lceil n ^ frac {1} {k} rceil $?

I really don't see an answer to this question, so I would be very grateful if someone can help me.

Cheers

older users: command and control in front of intelligent assistants for older people

I have a zero configuration call detection program that targets / protects older people from robocallers and other scammers and scammers. The program runs on low-end development panels and interfaces with fixed telecommunication lines using a USB modem. I want to provide a way to modify a running configuration, but I don't want to require a desktop or smartphone.

Reading indicates that voice commands can help older people. See, for example, Voice recognition innovation and the implications for the elderly and usability of voice user interfaces for the elderly.

Given a voice interface is useful, that leaves the "how" for the elderly. I feel that "command and control" is a better interface for this particular application, but people who build voice engines say that "smart assistants" is a better interface in general. From the CMU Pocket Sphinx project:

For command and control, it was popular to use a finite state grammar
for a long time. However, we do not recommend this approach today.
It is much better to employ a medium vocabulary recognizer with a
semantic analysis framework at the top to improve the user experience
and that they use a more or less natural language. In short, don't build
command and control, build smart assistants instead.

For smart assistants you not only need recognition, but
also analysis of intentions and knowledge of databases. For more details on how
Implement this, you can verify Lucida with OpenEphyra technology. Dialogue
The systems will also require a framework for user feedback.

When I started researching and designing the voice interface, the use cases I imagined include the following. Use cases are driven by low resource constraints and enter the "command and control" interface.

  • "Callman, block call"
  • "Callman, call blocker"
  • "Callman, allow call"
  • "Callman, allow call"

(I also have a capricious grammar. "Callman, yuk yuk" It means that the caller is bad and must move to a blacklist. "Callman, yum yum" it means that the caller is good and should be moved to a white list).

I think I need to better understand the intersection of "command and control" with the elderly. I need to know if the implementation of the voice command will confuse them (more than normal?). My questions are:

  • Are there empirical results that indicate that "intelligent assistants" are (far away?) Superior to "command and control" when used with older people?
  • Are there empirical results that indicate that "command and control" is not effective with the elderly?

dnd 5e: does the capacity of a second level transmutation assistant have poor power compared to other second level abilities of the subclass of other assistants?

Compare only second level skills with each other, without reference to the abilities of other magician subclasses at other levels or even to class characteristics such as Spellcasting or Arcane Recovery that could synergize better with some than others … it will be difficult to make it meaningful sense of. Part of the problem is that D&D has a history of some classes or subclasses that reach their pace before others.

Set aside the challenge, if you really want to compare them directly:

It will depend on what your "typical game" is.

Are you knocking down doors, fighting monsters and finding loot and treasures? Some of the arcane traditions will present an obvious utility in combat – Abjuration & # 39; s arcane room provide that rechargeable shield, Evocation sculpt spells allows you to take out big guns without hurting your allies, the enchantment hypnotic look effectively stuns an enemy, necromancy bleak harvest It allows you to recover your health and divination omen Allows you to control the result of spins and checks.

In contrast, Conjuration & # 39; s minor conjuration allows you to make something small appear somewhere, Illusion & # 39; s enhanced minor illusion Let your minor illusion spell do double work on itself, and the Transmutation spell minor alchemy It allows you to change what something is made of. It cannot be used exactly in direct combat unless your players are exceptionally creative and / or misleading, which, if they play magicians, illusionists or transmutators, probably are.

These are what we call incomparable. Your balance will depend greatly, if not entirely, on the situations that usually arise in the game.

chatbots: what are the common conversation design patterns used by voice assistants such as Siri, Alexa, Google Assistant and Cortana?

Conversational UI is common in IoT and other connected devices these days, not to mention smartphones and computers. The main players in the market would probably be Siri from Apple, Alexa from Amazon, Google Assistant and Cortana from Microsoft.

Usually, it is rare for someone to own products from all these providers, but I wonder if there are some common conversation design patterns that these types of devices share in the way they interact with the user, or if they are designed to behave differently. to adapt to the particular market or target group, and where these differences could be.

The specific areas in which I am thinking from the point of view of user experience are:

  • Default voice choice (and variety available for customization)
  • Language used to trigger specific actions
  • Type of language used by the voice assistant to respond
  • Type of audio signals and indicators for specific actions / status

Content, virtual assistants, résumés and more

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Sale – Content, curriculum, virtual assistants and more | Promotion Forum

Julio has arrived and the year has already officially finished half! Do not waste those long, lazy summer days cuddled behind your desk. Go out and have fun in the sun with your friends and family and make some memories instead. Paid Forum Posting professionals are ready and waiting to provide you with all your content needs and much more.
We have writers who can provide all the articles, blog posts and forum posts you need on any subject. All our writers are highly tested and all the content that is provided is 100% original, written and exclusively owned. Our writers love to WRITE, so you will never find content provided by us anywhere else online, and none of the content we provide has been "spun". In addition to the content, the paid publication of the forum also offers a variety of other services. These include:
Virtual Assistant Services
Reading and test edition services.
Curriculum vitae services
Management of social networks
Third-party publication
To celebrate summer, Independence Day and our appreciation of YOU, our valued customers, every order placed in the month of July will enter it in our raffle to win 50 forum posts or a 500 word article. So, what are you waiting for? Go to the paid forum post today!

Structure of project folders – configuration, assistants and enumerations

Where should the enumeration definitions be placed?

Now this would depend on our use. Within the project, we are using it to define errors (as in, enum member = error string) and to define numerical values ​​for different properties (for example, USD = 1, EUR = 2, some other enumeration has Android = 1 etc).

The problem is that the enumerations are placed in different folders depending on who is using them. Some of us put in config / and others in helpers /.

I see them as a way of making the constants more expressive and of the type of verification, so I see them from a configuration point of view.

What would be the right place to store them and why?

Outside voice assistants [on hold]

I try to find the website that lists the most used virtual assistants in smartphones and speakers.

Things like Siri, Alexa and Echo etc.

And then list the instructions on how to turn them off.

Thank you!!