What is meant by predicting the value of a state variable from the past? a) Specular reflection b) Diffuse reflection c) Gaussian filter d) Smoothing

What is meant by predicting the value of a state variable from the past?

a) Specular reflection

b) Diffuse reflection

c) Gaussian filter

d) Smoothing
by

1 Answer

Answer :

d) Smoothing
by

Related questions

What cannot be produced by a diffuse reflection but is possible with a specular reflection?

Description : What cannot be produced by a diffuse reflection but is possible with a specular reflection?

Last Answer : I don’t understand the question

The reflectance from a surface is called specular reflection if it follows: (A)snell's law (B) Lambert's cosine law (C) Planktan's law (D) All of thes

Description : The reflectance from a surface is called specular reflection if it follows: (A)snell's law (B) Lambert's cosine law (C) Planktan's law (D) All of thes

Last Answer : Answer: Option A

What is the process of breaking an image into groups? a) Edge detection b) Smoothing c) Segmentation d) None of the mentioned

Description : What is the process of breaking an image into groups? a) Edge detection b) Smoothing c) Segmentation d) None of the mentioned

Last Answer : c) Segmentation

Which suggests the existence of an efficient recursive algorithm for online smoothing? a) Matrix b) Constant space c) Constant time d) None of the mentioned

Description : Which suggests the existence of an efficient recursive algorithm for online smoothing? a) Matrix b) Constant space c) Constant time d) None of the mentioned

Last Answer : b) Constant space

Which reveals an improvement in online smoothing? a) Matrix formulation b) Revelation c) HMM d) None of the mentioned

Description : Which reveals an improvement in online smoothing? a) Matrix formulation b) Revelation c) HMM d) None of the mentioned

Last Answer : a) Matrix formulation

What are the types of smoothing?

Description : What are the types of smoothing?

Last Answer : i. Add one smoothing. ii. Linear Interpolation Smoothing

What is a top-down parser? a) Begins by hypothesizing a sentence (the symbol S) and successively predicting lower level constituents until individual pre-terminal symbols are written b) Begins by hypothesizing a sentence (the symbol S) and successively predicting upper level constituents until individual pre-terminal symbols are written c) Begins by hypothesizing lower level constituents and successively predicting a sentence (the symbol S) d) Begins by hypothesizing upper level constituents and successively predicting a sentence (the symbol S)

Description : What is a top-down parser? a) Begins by hypothesizing a sentence (the symbol S) and successively predicting lower level constituents until individual pre-terminal symbols are written b) ... d) Begins by hypothesizing upper level constituents and successively predicting a sentence (the symbol S)

Last Answer : a) Begins by hypothesizing a sentence (the symbol S) and successively predicting lower level constituents until individual pre-terminal symbols are written

What is a top-down parser? a) Begins by hypothesizing a sentence (the symbol S) and successively predicting lower level constituents until individual preterminal symbols are written b) Begins by hypothesizing a sentence (the symbol S) and successively predicting upper level constituents until individual preterminal symbols are written c) Begins by hypothesizing lower level constituents and successively predicting a sentence (the symbol S) d) Begins by hypothesizing upper level constituents and successively predicting a sentence (the symbol S)

Description : What is a top-down parser? a) Begins by hypothesizing a sentence (the symbol S) and successively predicting lower level constituents until individual preterminal symbols are written b) Begins ... ) Begins by hypothesizing upper level constituents and successively predicting a sentence (the symbol S)

Last Answer : a) Begins by hypothesizing a sentence (the symbol S) and successively predicting lower level constituents until individual preterminal symbols are written

Pick out the wrong statement: (A) With change in temperature, the radiant energy emitted by a black body remains unchanged (B) Absorptivity of a body approaches unity in case of diffuse reflection (C) Absorptivity of a perfectly black body is unity (D) Value of Stefan-Boltzmann constant is 4.876 × 10 -8 KCal/m2 .hr.°K4

Description : Pick out the wrong statement: (A) With change in temperature, the radiant energy emitted by a black body remains unchanged (B) Absorptivity of a body approaches unity in case of diffuse reflection (C) Absorptivity of ... unity (D) Value of Stefan-Boltzmann constant is 4.876 10 -8 KCal/m2 .hr.°K4

Last Answer : (A) With change in temperature, the radiant energy emitted by a black body remains unchanged

What is meant by probability density function? a) Probability distributions b) Continuous variable c) Discrete variable d) Probability distributions for Continuous variables

Description : What is meant by probability density function? a) Probability distributions b) Continuous variable c) Discrete variable d) Probability distributions for Continuous variables

Last Answer : d) Probability distributions for Continuous variables

What is meant by factoring? a) Removal of redundant variable b) Removal of redundant literal c) Addition of redundant literal d) Addition of redundant variable

Description : What is meant by factoring? a) Removal of redundant variable b) Removal of redundant literal c) Addition of redundant literal d) Addition of redundant variable

Last Answer : b) Removal of redundant literal

What is meant by probability density function? a) Probability distributions b) Continuous variable c) Discrete variable d) Probability distributions for Continuous variables

Description : What is meant by probability density function? a) Probability distributions b) Continuous variable c) Discrete variable d) Probability distributions for Continuous variables

Last Answer : d) Probability distributions for Continuous variables

The outcome that investigator is interested in understanding explaining, or predicting is described as: a. Situational variable b. Dependent variable c. Independent variable d. Extraneous variable

Description : The outcome that investigator is interested in understanding explaining, or predicting is described as: a. Situational variable b. Dependent variable c. Independent variable d. Extraneous variable

Last Answer : b. Dependent variable

Reflections in many directions ∙ a. Diffuse reflection ∙ b. Diffraction ∙ c. Scattering ∙ d. Dispersion

Description : Reflections in many directions ∙ a. Diffuse reflection ∙ b. Diffraction ∙ c. Scattering ∙ d. Dispersion

Last Answer : a. Diffuse reflection

Fiber optics cable used in communication, works on the principle of (1) regular reflection of light (2) diffuse reflection of light (3) refraction of light (4) total internal reflection of light

Description : Fiber optics cable used in communication, works on the principle of (1) regular reflection of light (2) diffuse reflection of light (3) refraction of light (4) total internal reflection of light

Last Answer : total internal reflection of light

The BACKTRACKING-SEARCH algorithm in Figure 5.3 has a very simple policy for what to do when a branch of the search fails: back up to the preceding variable and try a different value for it. This is called chronological-backtracking. It is also possible to go all the way to set of variable that caused failure. a) True b) False

Description : The BACKTRACKING-SEARCH algorithm in Figure 5.3 has a very simple policy for what to do when a branch of the search fails: back up to the preceding variable and try a different value for it. This is ... also possible to go all the way to set of variable that caused failure. a) True b) False

Last Answer : a) True

Artificial intelligence is A . It uses machine-learning techniques. Here program can learn From past experience and adapt themselves to new situations B. Computational procedure that takes some value as input and produces some value as output. C. Science of making machines performs tasks that would require intelligence when performed by humans D . None of these

Description : Artificial intelligence is A . It uses machine-learning techniques. Here program can learn From past experience and adapt themselves to new situations B. Computational procedure that takes some ... performs tasks that would require intelligence when performed by humans D . None of these

Last Answer : C. Science of making machines performs tasks that would require intelligence when performed by humans

How many kinds of reflection are available in image perception? a) 1 b) 2 c) 3

Description : How many kinds of reflection are available in image perception? a) 1 b) 2 c) 3

Last Answer : b) 2

Which variable can give the concrete form to the representation of the transition model? a) Single variable b) Discrete state variable c) Random variable d) Both Single & Discrete state variable

Description : Which variable can give the concrete form to the representation of the transition model? a) Single variable b) Discrete state variable c) Random variable d) Both Single & Discrete state variable

Last Answer : d) Both Single & Discrete state variable

How does the state of the process is described in HMM? a) Literal b) Single random variable c) Single discrete random variable d) None of the mentioned

Description : How does the state of the process is described in HMM? a) Literal b) Single random variable c) Single discrete random variable d) None of the mentioned

Last Answer : c) Single discrete random variable

What is state space? a) The whole problem b) Your Definition to a problem c) Problem you design d) Representing your problem with variable and parameter

Description : What is state space? a) The whole problem b) Your Definition to a problem c) Problem you design d) Representing your problem with variable and parameter

Last Answer : d) Representing your problem with variable and parameter

The compressibility factor, x, is used for predicting the behavior of nonideal gases. How is the compressibility ty factor defined relative to an ideal gas? (subscript “c”refers to critical value)  A. z = P / Pc  B. z = pV/ RT  C. z = T /Tc  D. z = RT / pV Hint: for an real gases the compressibility factor, x, is an dimensionless constant given by pV=zRT. Therefore z = pV / RT

Description : The compressibility factor, x, is used for predicting the behavior of nonideal gases. How is the compressibility ty factor defined relative to an ideal gas? (subscript c refers to critical value)  A. ... compressibility factor, x, is an dimensionless constant given by pV=zRT. Therefore z = pV / RT

Last Answer : z = pV/ RT

Which method can’t be used for expressing relational knowledge? a) Literal system b) Variable-based system c) Attribute-based system d) None of the mentioned

Description : Which method can’t be used for expressing relational knowledge? a) Literal system b) Variable-based system c) Attribute-based system d) None of the mentioned

Last Answer : c) Attribute-based system

There are also other operators, more linguistic in nature, called __________ that can be applied to fuzzy set theory. a) Hedges b) Lingual Variable c) Fuzz Variable d) None of the mentioned

Description : There are also other operators, more linguistic in nature, called __________ that can be applied to fuzzy set theory. a) Hedges b) Lingual Variable c) Fuzz Variable d) None of the mentioned

Last Answer : a) Hedges

The room temperature is hot. Here the hot (use of linguistic variable is used) can be represented by _______ a) Fuzzy Set b) Crisp Set c) Fuzzy & Crisp Set d) None of the mentioned

Description : The room temperature is hot. Here the hot (use of linguistic variable is used) can be represented by _______ a) Fuzzy Set b) Crisp Set c) Fuzzy & Crisp Set d) None of the mentioned

Last Answer : a) Fuzzy Set

Which condition is used to influence a variable directly by all the others? a) Partially connected b) Fully connected c) Local connected d) None of the mentioned

Description : Which condition is used to influence a variable directly by all the others? a) Partially connected b) Fully connected c) Local connected d) None of the mentioned

Last Answer : b) Fully connected

Which variable cannot be written in entire distribution as a table? a) Discrete b) Continuous c) Both Discrete & Continuous d) None of the mentioned

Description : Which variable cannot be written in entire distribution as a table? a) Discrete b) Continuous c) Both Discrete & Continuous d) None of the mentioned

Last Answer : b) Continuous

What is the basic element of a language? a) Literal b) Variable c) Random variable d) All of the mentioned

Description : What is the basic element of a language? a) Literal b) Variable c) Random variable d) All of the mentioned

Last Answer : c) Random variable

A Hybrid Bayesian network contains ___________ a) Both discrete and continuous variables b) Only Discrete variables c) Only Discontinuous variable

Description : A Hybrid Bayesian network contains ___________ a) Both discrete and continuous variables b) Only Discrete variables c) Only Discontinuous variable

Last Answer : a) Both discrete and continuous variables

Which can be adapted for planning algorithms? a) Most-constrained variable b) Most-constrained literal

Description : Which can be adapted for planning algorithms? a) Most-constrained variable b) Most-constrained literal

Last Answer : a) Most-constrained variable

The corresponding Existential Instantiation rule: for the existential quantifier is slightly more complicated. For any sentence a, variable v, and constant symbol k that does not appear elsewhere in the knowledge base. a) True b) False

Description : The corresponding Existential Instantiation rule: for the existential quantifier is slightly more complicated. For any sentence a, variable v, and constant symbol k that does not appear elsewhere in the knowledge base. a) True b) False

Last Answer : a) True

The rule of Universal Instantiation (UI for short) says that we can infer any sentence obtained by substituting a ground term (a term without variables) for the variable. a) True b) False

Description : The rule of Universal Instantiation (UI for short) says that we can infer any sentence obtained by substituting a ground term (a term without variables) for the variable. a) True b) False

Last Answer : a) True

Which is omitted in prolog unification algorithm? a) Variable check b) Occur check c) Proposition check d) Both Occur & Proposition check

Description : Which is omitted in prolog unification algorithm? a) Variable check b) Occur check c) Proposition check d) Both Occur & Proposition check

Last Answer : b) Occur check

Which will solve the conjuncts of the rule so that the total cost is minimized? a) Constraint variable b) Conjunct ordering c) Data complexity d) All of the mentioned

Description : Which will solve the conjuncts of the rule so that the total cost is minimized? a) Constraint variable b) Conjunct ordering c) Data complexity d) All of the mentioned

Last Answer : b) Conjunct ordering

A Term is either an individual constant (a 0-ary function), or a variable, or an n-ary function applied to n terms: F(t1 t2 ..tn). a) True b) False

Description : A Term is either an individual constant (a 0-ary function), or a variable, or an n-ary function applied to n terms: F(t1 t2 ..tn). a) True b) False

Last Answer : a) True

The term ___________ is used for a depth-first search that chooses values for one variable at a time and returns when a variable has no legal values left to assign. a) Forward search b) Backtrack search c) Hill algorithm d) Reverse-Down-Hill search

Description : The term ___________ is used for a depth-first search that chooses values for one variable at a time and returns when a variable has no legal values left to assign. a) Forward search b) Backtrack search c) Hill algorithm d) Reverse-Down-Hill search

Last Answer : b) Backtrack search

Which condition is used to influence a variable directly by all the others? a) Partially connected b) Fully connected c) Local connected d) None of the mentioned

Description : Which condition is used to influence a variable directly by all the others? a) Partially connected b) Fully connected c) Local connected d) None of the mentioned

Last Answer : b) Fully connected

There are also other operators, more linguistic in nature, called __________ that can be applied to fuzzy set theory. a) Hedges b) Lingual Variable c) Fuzz Variable d) None of the mentione

Description : There are also other operators, more linguistic in nature, called __________ that can be applied to fuzzy set theory. a) Hedges b) Lingual Variable c) Fuzz Variable d) None of the mentione

Last Answer : a) Hedges

The room temperature is hot. Here the hot (use of linguistic variable is used) can be represented by _______ . a) Fuzzy Set b) Crisp Set

Description : The room temperature is hot. Here the hot (use of linguistic variable is used) can be represented by _______ . a) Fuzzy Set b) Crisp Set

Last Answer : a) Fuzzy Set

Which can stores past experiences or some data for short period time. A. Reactive machine B. Limited memory C. Theory of mind D. None of above

Description : Which can stores past experiences or some data for short period time. A. Reactive machine B. Limited memory C. Theory of mind D. None of above

Last Answer : B. Limited memory 

Which AI system not store memories or past experiences for future actions. A. Reactive machine B. Limited memory C. Theory of mind D. None of above

Description : Which AI system not store memories or past experiences for future actions. A. Reactive machine B. Limited memory C. Theory of mind D. None of above

Last Answer : A. Reactive machine 

What is meant by quasi-logical form? a) Sits between syntactic and logical form b) Logical connectives c) All of the mentioned d) None of the mentioned

Description : What is meant by quasi-logical form? a) Sits between syntactic and logical form b) Logical connectives c) All of the mentioned d) None of the mentioned

Last Answer : a) Sits between syntactic and logical form

What is meant by persistence actions? a) Allow a literal to remain false b) Allow a literal to remain true c) Allow a literal to remain false & true d) None of the mentioned

Description : What is meant by persistence actions? a) Allow a literal to remain false b) Allow a literal to remain true c) Allow a literal to remain false & true d) None of the mentioned

Last Answer : b) Allow a literal to remain true

What is meant by predicate indexing? a) All the one kind of facts in one bucket and another kind in other bucket b) Acts like index for facts c) All of the mentioned d) None of the mentioned

Description : What is meant by predicate indexing? a) All the one kind of facts in one bucket and another kind in other bucket b) Acts like index for facts c) All of the mentioned d) None of the mentioned

Last Answer : a) All the one kind of facts in one bucket and another kind in other bucket

What is meant by simulated annealing in artificial intelligence? a) Returns an optimal solution when there is a proper cooling schedule b) Returns an optimal solution when there is no proper cooling schedule c) It will not return an optimal solution when there is a proper cooling schedule d) None of the mentioned

Description : What is meant by simulated annealing in artificial intelligence? a) Returns an optimal solution when there is a proper cooling schedule b) Returns an optimal solution when there is no proper cooling ... not return an optimal solution when there is a proper cooling schedule d) None of the mentioned

Last Answer : a) Returns an optimal solution when there is a proper cooling schedule

What is meant by agent’s percept sequence? a) Used to perceive the environment b) Complete history of actuator c) Complete history of perceived things d) None of the mentioned

Description : What is meant by agent’s percept sequence? a) Used to perceive the environment b) Complete history of actuator c) Complete history of perceived things d) None of the mentioned

Last Answer : c) Complete history of perceived things

In Bayes theorem, what is meant by P(Hi|E)? a) The probability that hypotheses Hi is true given evidence E b) The probability that hypotheses Hi is false given evidence E c) The probability that hypotheses Hi is true given false evidence E d) The probability that hypotheses Hi is false given false evidence E

Description : In Bayes theorem, what is meant by P(Hi|E)? a) The probability that hypotheses Hi is true given evidence E b) The probability that hypotheses Hi is false given evidence E c) The probability ... Hi is true given false evidence E d) The probability that hypotheses Hi is false given false evidence E

Last Answer : a) The probability that hypotheses Hi is true given evidence E

What is meant by belief network?

Description : What is meant by belief network?

Last Answer : A belief network is a graph in which the following holds  A set of random variables  A set of directive links or arrows connects pairs of nodes.  The conditional probability table for each node  The graph has no directed cycl

What is meant by Turing test?

Description : What is meant by Turing test?

Last Answer : To conduct this test we need two people and one machine. One person will be an interrogator (i.e.) questioner, will be asking questions to one person and one machine. Three of them will be ... Interrogator, the machine acts like a human. Programming a computer to pass Turing test is very difficult.

A matrix question on the Gaussian elimination method?

Description : A matrix question on the Gaussian elimination method?

Last Answer : answer:Are you having trouble setting up the equations? They seem fairly straightforward. The first sentence gives us x + y + z = 110,000. Then .09x + .08y + .13z= 10,435, and finally x + y - 3z = ... got this far, show the work you did for the solution, and I can check to see where you went wrong.