Learning - TU Chemnitz
... Of several responses made to the same situation, those which are accompanied or closely followed by satisfaction to the animal will, other things being equal, be more firmly connected with the situation, so that, when it recurs, they will be more likely to recur; those which are accompanied or close ...
... Of several responses made to the same situation, those which are accompanied or closely followed by satisfaction to the animal will, other things being equal, be more firmly connected with the situation, so that, when it recurs, they will be more likely to recur; those which are accompanied or close ...
Introduction
... • Cases: points where syringes were found • Controls: random points where syringes were not found Used to assess whether clustering in the events is greater than what is expected due to environmental heterogeneity. • Here we use Ripley’s K function to summarize the spatial point patterns. • D (d ) = ...
... • Cases: points where syringes were found • Controls: random points where syringes were not found Used to assess whether clustering in the events is greater than what is expected due to environmental heterogeneity. • Here we use Ripley’s K function to summarize the spatial point patterns. • D (d ) = ...
The State of SAT - Cornell Computer Science
... Currently the most practical extension of general resolution is symmetry detection. The pigeon hole problem is intuitively easy because we immediately see that different pigeons and holes are indistinguishable, so we do not need to actually consider all possible matchings — without loss of generali ...
... Currently the most practical extension of general resolution is symmetry detection. The pigeon hole problem is intuitively easy because we immediately see that different pigeons and holes are indistinguishable, so we do not need to actually consider all possible matchings — without loss of generali ...
Recovery of non-linear cause-effect relationships
... trained on pre-defined variables [4]. The linear MERLiN algorithm, however, is unable to reconstruct cortical sources with non-linear cause-effect relationships. Here we present the non-linear MERLiN algorithm and relax the assumption of linear cause-effect relationships. By integrating kernel ridge ...
... trained on pre-defined variables [4]. The linear MERLiN algorithm, however, is unable to reconstruct cortical sources with non-linear cause-effect relationships. Here we present the non-linear MERLiN algorithm and relax the assumption of linear cause-effect relationships. By integrating kernel ridge ...
131-300-1
... As mentioned before, the neuron which generates spike at first, determines the class of input image. So, Logical architecture for detecting first received spike is shown in Fig. 4. As it can be seen in Fig. 4, as soon as one of output classes change to 1, all output classes do not change any more. T ...
... As mentioned before, the neuron which generates spike at first, determines the class of input image. So, Logical architecture for detecting first received spike is shown in Fig. 4. As it can be seen in Fig. 4, as soon as one of output classes change to 1, all output classes do not change any more. T ...
Introduction to Algorithms November 4, 2005
... consecutive non-promoted nodes that follow it in the list. For example, if the next node in the linked list is promoted, the count is 0; if the next node is not promoted, but the following node is promoted, the count is 1. The goal is to ensure that the count of a promoted node is at least and nomor ...
... consecutive non-promoted nodes that follow it in the list. For example, if the next node in the linked list is promoted, the count is 0; if the next node is not promoted, but the following node is promoted, the count is 1. The goal is to ensure that the count of a promoted node is at least and nomor ...
AI in chemometrics
... machines, which way of acting can be considered as „human” (caused by „human” intelligence) ...
... machines, which way of acting can be considered as „human” (caused by „human” intelligence) ...
Hardness-Aware Restart Policies
... Gomes et al. [7] demonstrated the effectiveness of randomized restarts on a variety of problems in scheduling, theorem-proving, and planning. In this approach, randomness is added to the branching heuristic of a systematic search algorithm; if the search algorithm does not find a solution within a g ...
... Gomes et al. [7] demonstrated the effectiveness of randomized restarts on a variety of problems in scheduling, theorem-proving, and planning. In this approach, randomness is added to the branching heuristic of a systematic search algorithm; if the search algorithm does not find a solution within a g ...
Partially observable Markov decision processes for
... 6. DISCUSSION AND CONCLUSION A POMDP model can be used to control musical behaviour in many situations. For example, in systems which have musical style classifiers as their sensors such as those described in [2] and [3], a POMDP model would take classifier accuracy into account and it could use pri ...
... 6. DISCUSSION AND CONCLUSION A POMDP model can be used to control musical behaviour in many situations. For example, in systems which have musical style classifiers as their sensors such as those described in [2] and [3], a POMDP model would take classifier accuracy into account and it could use pri ...
Released 2016 Assessment: Mathematics
... Response demonstrates a considerable understanding of the relationships between important elements of the problem; name or drawing correct with 9 to 12 values correct in chart (10 correct). Note: Name is correct but drawing is not parallelogram as top and bottom side lengths are not equal (5 units a ...
... Response demonstrates a considerable understanding of the relationships between important elements of the problem; name or drawing correct with 9 to 12 values correct in chart (10 correct). Note: Name is correct but drawing is not parallelogram as top and bottom side lengths are not equal (5 units a ...
PDF only
... specialist that designates a particular hypothesis or concept related to the problem. Each specialist is a knowledge based problem solving agent that can make local decisions about how well it fits the data available. Once a specialist has been estab lished as a relevant hypothesis, it can decide w ...
... specialist that designates a particular hypothesis or concept related to the problem. Each specialist is a knowledge based problem solving agent that can make local decisions about how well it fits the data available. Once a specialist has been estab lished as a relevant hypothesis, it can decide w ...
Spike Train SIMilarity Space (SSIMS): A Framework for Single
... with the behavior or stimulus is unknown, model-free methods such as principal component analysis can be used to gain insight into the relationship. Here we employ t-distributed stochastic neighbor embedding (t-SNE) (van der Maaten & Hinton, 2008) to project the high-dimensional space defined by pai ...
... with the behavior or stimulus is unknown, model-free methods such as principal component analysis can be used to gain insight into the relationship. Here we employ t-distributed stochastic neighbor embedding (t-SNE) (van der Maaten & Hinton, 2008) to project the high-dimensional space defined by pai ...
Artificial intelligence - University of London International Programmes
... which a program is judged intelligent if its behaviour cannot be differentiated from that of a human (and which will be further discussed in Chapter 8)—is to explicitly aim to replicate human behaviour, albeit without regard to mechanism. However, most modern AI programs are instead designed to act ...
... which a program is judged intelligent if its behaviour cannot be differentiated from that of a human (and which will be further discussed in Chapter 8)—is to explicitly aim to replicate human behaviour, albeit without regard to mechanism. However, most modern AI programs are instead designed to act ...
1. The Concept of Artificial Intelligence Artificial Intelligence (AI) is a
... finding solutions to complex problems in a more human-like fashion. This generally involves borrowing characteristics from human intelligence, and applying them as algorithms in a computer friendly way. A more or less flexible or efficient approach can be taken depending on the requirements establis ...
... finding solutions to complex problems in a more human-like fashion. This generally involves borrowing characteristics from human intelligence, and applying them as algorithms in a computer friendly way. A more or less flexible or efficient approach can be taken depending on the requirements establis ...
