input space
Optimization of the input space for deep learning data analysis in HEP.
... the input space in most general and efficient ...the input vector for the DNN analysis and during the training DNN resolves the sensitive ...high-level input variables for BNN is very specific ...
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Knowledge-Based Kernel Approximation
... K(B,A 0 )t ≤ d = ⇒ α 0 K(A, A 0 )t + b ≥ h 0 A 0 t + β. (18) We note that the two kernels appearing in (18) need not be the same and neither needs to satisfy Mercer’s positive semidefiniteness condition. In particular, ...
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A Novel Fuzzy Based DC–DC Boost Converter with Balanced Output & High Voltage Gain
... less. The fuzzy inference system combines fuzzy IF–THEN rules for mapping from fuzzy sets in the input space X to the output space Y based on fuzzy logic principle. In fuzzy logic, knowledge ...
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Kernels for Vector-Valued Functions: a Review
... Model selection establishes a path for future research in multiple-output kernels related problems. From a Bayesian perspective, in the setup of LMC and process convolutions, model selection includes principled mech- ...
38
Comparison of Traditional Approach for Edge Detection with Soft Computing Approach
... which few edges left by being detected. Fuzzy logic a branch of soft computing provides us flexibility by allowing the values without any such restrictions. Fuzzy logic have IF- THEN rules and have simple structure to ...
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Sensitivity analysis and parameter estimation for distributed hydrological modeling: potential of variational methods
... the input space the adjoint state method (implemented with the reverse mode of algorithmic differentiation) represents a significant improvement for the analysis and control of spatially distributed ...
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A Novel FPGA Implementation of Hierarchical Temporal Memory Spatial Pooler
... differing input patterns, its activation becomes meaningless for classification, and reduces the likelihood other columns can express themselves and identify meaningful features in the input ...
94
Semantic Models for Machine Learning
... feature space in order to increase the power of linear learning ...in input space this does not guarantee that the presented features in feature space are relevant or ...feature space ...
158
Volume 3, Issue 4, April 2014 Page 116
... Volume 3, Issue 4, April 2014 Page 117 edge detection gives better result compare to the classical approach. The classical techniques like Sobel, Prewitt, Roberts, Canny edge detector have limitations of using fixed ...
7
A VLSI Design of a Novel Architecture for Orthogonal Latin Square Codes
... the input space, called the input code space, and produces a subset of the output space, called the output code ...code space form the output error ...one input belonging ...
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Input Impedance of an Aperture Over a Lossy Half-Space: Application to on-Body Antenna Performance at 60 GHz
... channel, modeled by Bannister formulations. Using a similar approach but based on Spherical Wave Functions, authors in [7] extended the concept to measurements under some simplification assumptions. In that way, works in ...
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improving maximum margin clustering through span of support vectors minimization ICADABAI2009
... The key to success of SVM performance in the context of classification problems is SVM obtains decision surface through maximum margin heuristic -- find the optimal separating hyper-plane such that margin 2 is maximized. ...
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Entity Based Cross Document Coreferencing Using the Vector Space Model
... In comparison, Figure 12 shows the results using the B-CUBED scoring algorithm when the vector space model constructed the space of terms from the articles input to the system it still u[r] ...
7
Pervasive sensing as a mechanism for the effective control of CHP plant in commercial buildings
... An office building was subjected to pervasive sensing of environmental conditions and space use at high temporal resolution. This information was fed to a detailed simulation model in order to inform MIMO control ...
7
The Construction and Empirical Study of the Maker Space Input-Output Model Under the Perspective of Resource Sharing
... From the perspective of wealth, “Internet +” has changed the financial support conditions, and new financing methods such as crowd-funding, venture capital funds, financing guarantees, and financial leasing have been ...
11
Pervasive sensing as a mechanicsm for the effective control of CHP plant in commerical buildings
... multi- input, multi-output (MIMO) control of a combined heat and power (CHP) unit in a commercial building ...MIMO input parameters considered include space temperatures, heat store temperatures, ...
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Word Semantic Representations using Bayesian Probabilistic Tensor Factorization
... is problematic since both synonyms and antonyms are distributionally similar. Their approach is two stage: polarity inducing LSA from a manually created thesaurus, then falling back to morphol- ogy and distributional ...
10
Improving Relation Extraction with Knowledge attention
... without certain components are shown in Table 4. It is observed that: (1) The proposed multi- head knowledge-attention structure outperforms single-head significantly. This demonstrates the effectiveness of jointly ...
11
Review on: - Human Identification using GAIT Recognition Technique with PAL and PAL entropy, SVM and k-means with LDA
... cluster centres. The ranked of clusters are according to their similarity with the query. After Then the query image is compare with directly to the images in these clusters. Thus, numbers of multiple comparisons is ...
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MATHEMATICAL MODELING OF TASKS MANAGERS WITH THE STRATEGY OF SEPARATION IN SPACE WITH A HOMOGENEOUS AND HETEROGENEOUS INPUT FLOW AND FINITE QUEUE
... In existing CSs, especially in real-time systems (RTSs), input tasks for servicing are a heterogeneous flow containing queries of different types. For example, in RTSs tasks of different priority can come for ...
8