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... As mentioned above, for any given , we can estimate the FAR and FRR. By varying , we can get different values of FAR and FRR. By plotting the different values that the FAR and FRR take, this function is called a Receiver Operating Characteristic (ROC) curve. ROC curves are frequently used in engi ...
... As mentioned above, for any given , we can estimate the FAR and FRR. By varying , we can get different values of FAR and FRR. By plotting the different values that the FAR and FRR take, this function is called a Receiver Operating Characteristic (ROC) curve. ROC curves are frequently used in engi ...
A Survey on Application of Bio-Inspired Algorithms
... Divide and conquer techniques are the one way to solve large and complex problems which has been a practice in research since long time. Swarms have relatively simple behaviours individually, but with amazing capability of co-ordination and organizing their actions, they represent a complex and high ...
... Divide and conquer techniques are the one way to solve large and complex problems which has been a practice in research since long time. Swarms have relatively simple behaviours individually, but with amazing capability of co-ordination and organizing their actions, they represent a complex and high ...
Human-Robot-Communication and Machine Learning
... 2. Secondly, feedback must be provided to the user so that she can immediately understand what's happening on the robot's side. This task requires to translate internal, possibly low-level representations used by the robot into a representation that can be understood by the user. In both cases, the ...
... 2. Secondly, feedback must be provided to the user so that she can immediately understand what's happening on the robot's side. This task requires to translate internal, possibly low-level representations used by the robot into a representation that can be understood by the user. In both cases, the ...
6 Learning in Multiagent Systems
... in so far as it performs all learning activities (in the case of centralized learning), or it may act as a “specialist” in so far as it is specialized in a particular activity (in the case of decentralized learning). (4) Goal-specific features. Two examples of features that characterize learning in ...
... in so far as it performs all learning activities (in the case of centralized learning), or it may act as a “specialist” in so far as it is specialized in a particular activity (in the case of decentralized learning). (4) Goal-specific features. Two examples of features that characterize learning in ...
6 Learning in Multiagent Systems
... in so far as it performs all learning activities (in the case of centralized learning), or it may act as a “specialist” in so far as it is specialized in a particular activity (in the case of decentralized learning). (4) Goal-specific features. Two examples of features that characterize learning in ...
... in so far as it performs all learning activities (in the case of centralized learning), or it may act as a “specialist” in so far as it is specialized in a particular activity (in the case of decentralized learning). (4) Goal-specific features. Two examples of features that characterize learning in ...
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... The winners of this award will be selected by secret vote by the registered attendees to the conference. For the voting, you should have received one ballot to elect the best papers with your registration package. Papers compete in different categories according to the track to which they were submi ...
... The winners of this award will be selected by secret vote by the registered attendees to the conference. For the voting, you should have received one ballot to elect the best papers with your registration package. Papers compete in different categories according to the track to which they were submi ...
Reaching the Goal in Real-Time Heuristic Search: Scrubbing
... We will construct a tie-breaking schema such that whenever this property is violated due to raising heuristic at the current state, the agent will be forced to backtrack, removing the offending state from its route. To illustrate, consider Figure 3. In the second row the agent increases the heuristi ...
... We will construct a tie-breaking schema such that whenever this property is violated due to raising heuristic at the current state, the agent will be forced to backtrack, removing the offending state from its route. To illustrate, consider Figure 3. In the second row the agent increases the heuristi ...
WFPC-2 Shutter-A Position Sensing Error Fault Isolation
... • Is the cause of this error a health and safety concern? In a nutshell the health and safety boils down to a question of whether the cause is electrical or mechanical. If mechanical there may be a health and safety concern but if electrical, probably not. The analysis will largely be driven by the ...
... • Is the cause of this error a health and safety concern? In a nutshell the health and safety boils down to a question of whether the cause is electrical or mechanical. If mechanical there may be a health and safety concern but if electrical, probably not. The analysis will largely be driven by the ...
SameField(+f,c,c
... for i ← 1 to max-tries do solution = random truth assignment for j ← 1 to max-flips do if ∑ weights(sat. clauses) > threshold then return solution c ← random unsatisfied clause with probability p flip a random variable in c else flip variable in c that maximizes ∑ weights(sat. clauses) return failur ...
... for i ← 1 to max-tries do solution = random truth assignment for j ← 1 to max-flips do if ∑ weights(sat. clauses) > threshold then return solution c ← random unsatisfied clause with probability p flip a random variable in c else flip variable in c that maximizes ∑ weights(sat. clauses) return failur ...