Contributions to Deep Learning Models - RiuNet

... Graphical representation of DNN model with two hidden layers. . . . The Backpropagation algorithm for a neural network with two hidden layers. Note that bias terms have been ommited for simplicity. . . . . Architecture of LeNet-5, a convolutional neural network for handwritten digits recognition. . ...

... Graphical representation of DNN model with two hidden layers. . . . The Backpropagation algorithm for a neural network with two hidden layers. Note that bias terms have been ommited for simplicity. . . . . Architecture of LeNet-5, a convolutional neural network for handwritten digits recognition. . ...

Finding Non-Redundant, Statistically Signi cant Regions in

... depends critically on difficult to set parameter values. A second problem for the most previous approaches is that they assume, explicitly or implicitly, that clusters have some point density controlled by user-defined parameters, and they will (in most cases) report some clusters. However, we have ...

... depends critically on difficult to set parameter values. A second problem for the most previous approaches is that they assume, explicitly or implicitly, that clusters have some point density controlled by user-defined parameters, and they will (in most cases) report some clusters. However, we have ...

Cluster Analysis for Large, High

... subdivided. In addition, the clustering solution was proved to be robust in the presence of noise in moderate levels, and when the clusters are partially overlapping. In the second part of the thesis, a novel method for generating synthetic datasets with variable structure and clustering difficulty ...

... subdivided. In addition, the clustering solution was proved to be robust in the presence of noise in moderate levels, and when the clusters are partially overlapping. In the second part of the thesis, a novel method for generating synthetic datasets with variable structure and clustering difficulty ...

Aalborg Universitet

... simple models such that it is technically possible and economically affordable for domain experts to build and maintain these models. If expert systems should ever reach a wider audience, we see this simplicity as a prerequisite. In general we might summarize the benefits of this approach as follows ...

... simple models such that it is technically possible and economically affordable for domain experts to build and maintain these models. If expert systems should ever reach a wider audience, we see this simplicity as a prerequisite. In general we might summarize the benefits of this approach as follows ...

g1020_ww9_aap

... A Degraded Second outcome occurs for a block of packets observed during a 1 second interval when the ratio of lost packets at the egress UNI to total packets in the corresponding second interval at the ingress UNI exceeds D%. Sequence numbers and time stamps contained in packet headers may be used t ...

... A Degraded Second outcome occurs for a block of packets observed during a 1 second interval when the ratio of lost packets at the egress UNI to total packets in the corresponding second interval at the ingress UNI exceeds D%. Sequence numbers and time stamps contained in packet headers may be used t ...

The DL-Lite Family - Dipartimento di Informatica e Sistemistica

... efficient, i.e., worst-case polynomial time, reasoning algorithms lack modeling power required in capturing conceptual models and basic ontology languages, while most DLs with sufficient modeling power suffer from inherently worst-case exponential time behavior of reasoning [5, 6]. Although the requ ...

... efficient, i.e., worst-case polynomial time, reasoning algorithms lack modeling power required in capturing conceptual models and basic ontology languages, while most DLs with sufficient modeling power suffer from inherently worst-case exponential time behavior of reasoning [5, 6]. Although the requ ...

Risk Analysis for the Artificial General Intelligence Research and

... For risk analysis, important questions concern the probabilities, timings, and consequences of the invention of key ASI technologies. Regarding the consequences, Yudkowsky (2008), Chalmers (2010) and others argue that ASIs could be so powerful that they will essentially be able to do whatever they c ...

... For risk analysis, important questions concern the probabilities, timings, and consequences of the invention of key ASI technologies. Regarding the consequences, Yudkowsky (2008), Chalmers (2010) and others argue that ASIs could be so powerful that they will essentially be able to do whatever they c ...

Prototype-based Classification and Clustering

... partitioning approaches are not always appropriate for the task at hand, especially if the groups of data points are not well separated, but rather form more densely populated regions, which are separated by less densely populated ones. In such cases the boundary between clusters can only be drawn w ...

... partitioning approaches are not always appropriate for the task at hand, especially if the groups of data points are not well separated, but rather form more densely populated regions, which are separated by less densely populated ones. In such cases the boundary between clusters can only be drawn w ...