wanyu/IteraTeR_v2 huggingface dataset:
Original:  In particular, for each class we mention several schemes  , providing their security assumptions and comparing their properties.
Revised:  In particular, we mention several schemes , providing their security assumptions and comparing their properties.
Edit intent: clarity
Original:  Setting a joint probabilistic model on the network and the extinction sequences allows to analyze this relation.
Revised:  Setting a joint probabilistic model on the network and the extinction sequences allows analysis of this relation.
Edit intent: fluency
Original:  Especially the  tabled variant of the latter (tANS) often replaces Huffman coding due to better compression at similar computational cost - e.g. in  Facebook Zstandard and Apple LZFSE popular compressors.
Revised:  Especially the tabled variant of the latter (tANS) often replaces Huffman coding due to better compression at similar computational cost - e.g. in popular Facebook Zstandard and Apple LZFSE popular compressors.
Edit intent: fluency
Original:  Especially the  tabled variant of the latter (tANS) often replaces Huffman coding due to better compression at similar computational cost - e.g. in  Facebook Zstandard and Apple LZFSE popular compressors.
Revised:  Especially the tabled variant of the latter (tANS) often replaces Huffman coding due to better compression at similar computational cost - e.g. in Facebook Zstandard and Apple LZFSE compressors.
Edit intent: clarity
Original:  There is discussed encoding of probability distributions for this kind of applications, especially using Pyramid Vector Quantizer(PVQ)-based approach with deformation, also tuned symbol spread for tANS.
Revised:  There is discussed encoding of probability distributions for such applications, especially using Pyramid Vector Quantizer(PVQ)-based approach with deformation, also tuned symbol spread for tANS.
Edit intent: clarity
Original:  Nevertheless, to fully exploit the potential of this technology , some steps forwards are needed.
Revised:  Nevertheless, to fully exploit the potential of this technology , some steps forward are needed.
Edit intent: fluency
Original:  In this work, we explore the implementation of  cognitive data analysis algorithm on resource-constrained computing platforms .
Revised:  In this work, we explore the implementation of a cognitive data analysis algorithm on resource-constrained computing platforms .
Edit intent: fluency
Original:  We have assessed our approach on a use-case using a convolutional neural network to classify electrocardiogram (ECG) traces on a low-power microcontroller.
Edit intent: coherence
Original:  To this end, we propose a novel privacy guarantee, d-sigma privacy , that captures the privacy of the order of a data sequence. d-sigma privacy allows tuning the granularity at which the ordinal information is maintained, which formalizes the degree the resistance to inference attacks trading it off with data learnability.
Revised:  To this end, we propose a novel privacy guarantee, d-sigma-privacy , that captures the privacy of the order of a data sequence. d-sigma privacy allows tuning the granularity at which the ordinal information is maintained, which formalizes the degree the resistance to inference attacks trading it off with data learnability.
Edit intent: clarity
Original:  To this end, we propose a novel privacy guarantee, d-sigma privacy , that captures the privacy of the order of a data sequence. d-sigma privacy allows tuning the granularity at which the ordinal information is maintained, which formalizes the degree the resistance to inference attacks trading it off with data learnability.
Revised:  To this end, we propose a novel privacy guarantee, d-sigma privacy , that captures the privacy of the order of a data sequence. d-sigma-privacy allows tuning the granularity at which the ordinal information is maintained, which formalizes the degree the resistance to inference attacks trading it off with data learnability.
Edit intent: clarity
Original:  Additionally, we propose a novel shuffling mechanism that can achieve d-sigma privacy \name and demonstrate the practicality of our mechanism via evaluation on real-world datasets.
Revised:  Additionally, we propose a novel shuffling mechanism that can achieve \name and demonstrate the practicality of our mechanism via evaluation on real-world datasets.
Edit intent: clarity
Original:  The goal of the socially fair k-median problem is to find a set C \subseteq F of k centers that minimizes the maximum average cost over all the groups.
Revised:  The goal in the socially fair k-median problem is to find a set C \subseteq F of k centers that minimizes the maximum average cost over all the groups.
Edit intent: clarity
Original:  The socially fair k-means problem is defined similarly by using squared distances, i.e., d^{2}(.,.) instead of d(.,.). \left( {\log \log \ell} }\right)  ] In this work, we design (5 +\varepsilon) and ( 33 + \varepsilon) approximation algorithms for the socially fair k-median and k-means problems, respectively .
Revised:  The socially fair k-means problem is defined similarly by using squared distances, i.e., d^{2}(.,.) instead of d(.,.). \left( {\log \log \ell} }\right) COLT 2021] In this work, we design (5 +\varepsilon) and ( 33 + \varepsilon) approximation algorithms for the socially fair k-median and k-means problems, respectively .
Edit intent: clarity
Original:  The socially fair k-means problem is defined similarly by using squared distances, i.e., d^{2}(.,.) instead of d(.,.). \left( {\log \log \ell} }\right)  ] In this work, we design (5 +\varepsilon) and ( 33 + \varepsilon) approximation algorithms for the socially fair k-median and k-means problems, respectively .
Revised:  The socially fair k-means problem is defined similarly by using squared distances, i.e., d^{2}(.,.) instead of d(.,.). \left( {\log \log \ell} }\right) ]. In this work, we design (5 +\varepsilon) and ( 33 + \varepsilon) approximation algorithms for the socially fair k-median and k-means problems, respectively .
Edit intent: fluency
Original:  For the parameters: k and \ell, the algorithms have an FPT (fixed parameter tractable) running time of f(k, \ell, \varepsilon) \cdot n for f(k, \ell, \varepsilon) = 2 ^{{O}(k \, \ell/\varepsilon )} and n = |P \cup F|.
Revised:  For the parameters: k and \ell, the algorithms have an FPT (fixed parameter tractable) time f(k, \ell, \varepsilon) \cdot n for f(k, \ell, \varepsilon) = 2 ^{{O}(k \, \ell/\varepsilon )} and n = |P \cup F|.
Edit intent: clarity
Original:  For the parameters: k and \ell, the algorithms have an FPT (fixed parameter tractable) running time of f(k, \ell, \varepsilon) \cdot n for f(k, \ell, \varepsilon) = 2 ^{{O}(k \, \ell/\varepsilon )} and n = |P \cup F|.
Revised:  For the parameters: k and \ell, the algorithms have an FPT (fixed parameter tractable) running time of f(k, \varepsilon) \cdot n for f(k, \ell, \varepsilon) = 2 ^{{O}(k \, \ell/\varepsilon )} and n = |P \cup F|.
Edit intent: fluency
Original:  For the parameters: k and \ell, the algorithms have an FPT (fixed parameter tractable) running time of f(k, \ell, \varepsilon) \cdot n for f(k, \ell, \varepsilon) = 2 ^{{O}(k \, \ell/\varepsilon )} and n = |P \cup F|.
Revised:  For the parameters: k and \ell, the algorithms have an FPT (fixed parameter tractable) running time of f(k, \ell, \varepsilon) \cdot n for f(k, \varepsilon) = 2 ^{{O}(k \, \ell/\varepsilon )} and n = |P \cup F|.
Edit intent: fluency
Original:  For the parameters: k and \ell, the algorithms have an FPT (fixed parameter tractable) running time of f(k, \ell, \varepsilon) \cdot n for f(k, \ell, \varepsilon) = 2 ^{{O}(k \, \ell/\varepsilon )} and n = |P \cup F|.
Revised:  For the parameters: k and \ell, the algorithms have an FPT (fixed parameter tractable) running time of f(k, \ell, \varepsilon) \cdot n for f(k, \ell, \varepsilon) = 2 ^{{O}(k )} and n = |P \cup F|.
Edit intent: clarity
Original:  In particular, we define a Markov Decision Process , which incrementally generates an mIS, and adopt a planning method to search for equilibria, outperforming existing methods.
Revised:  In particular, we define a Markov Decision Process which incrementally generates an mIS, and adopt a planning method to search for equilibria, outperforming existing methods.
Edit intent: fluency
Original:  Furthermore, we devise an imitation learning technique that uses demonstrations of the search to obtain a graph neural network parametrized policy which quickly generalizes to unseen game instances.
Revised:  Furthermore, we devise a graph imitation learning technique that uses demonstrations of the search to obtain a graph neural network parametrized policy which quickly generalizes to unseen game instances.
Edit intent: fluency
Original:  Our evaluation results show that this policy is able to reach 99.5\% of the performance of the planning method while being approximately three orders of magnitude faster to evaluate on the largest graphs tested.
Revised:  Our evaluation results show that this policy is able to reach 99.5\% of the performance of the planning method while being three orders of magnitude faster to evaluate on the largest graphs tested.
Edit intent: clarity
Original:  Due to sensors have different performance in different environments, how to fuse measurements of various sensors is a problem.
Revised:  Due to different performance of sensors in different environments, how to fuse measurements of various sensors is a problem.
Edit intent: clarity
Original:  In this paper, we propose a tightly-coupled multi-sensor fusion framework, Lvio-Fusion, which fuses stereo camera, Lidar, IMU, and GPS based on the graph optimization.
Revised:  In this paper, we propose a tightly coupled multi-sensor fusion framework, Lvio-Fusion, which fuses stereo camera, Lidar, IMU, and GPS based on the graph optimization.
Edit intent: fluency
Original:  After training, actor-critic agent can provide the system with better and dynamic sensors' weight.
Revised:  After training, actor-critic agent can provide the system better and dynamic sensors' weight.
Edit intent: clarity
Original:  We evaluate the performance of our system on public datasets and compare it with other state-of-the-art methods, showing that the proposed method achieves high estimation accuracy and robustness to various environments.
Revised:  We evaluate the performance of our system on public datasets and compare it with other state-of-the-art methods, which shows that the proposed method achieves high estimation accuracy and robustness to various environments.
Edit intent: coherence
Original:   This attack exploits the statistical distribution  i.e., Gaussian distribution, of the layer-by-layer feature maps of the CNN to design two triggers for stealthy HT with a very low probability of triggering.
Revised:  This attack exploits the statistical distribution , i.e., Gaussian distribution, of the layer-by-layer feature maps of the CNN to design two triggers for stealthy HT with a very low probability of triggering.
Edit intent: fluency
Original: Network Traffic Classification (NTC) has become an important component in a wide variety of network management operations, e.g., Quality of Service (QoS) provisioning and security purposes .
Revised: Network Traffic Classification (NTC) has become an important feature in various network management operations, e.g., Quality of Service (QoS) provisioning and security purposes .
Edit intent: clarity
Original: Network Traffic Classification (NTC) has become an important component in a wide variety of network management operations, e.g., Quality of Service (QoS) provisioning and security purposes .
Revised: Network Traffic Classification (NTC) has become an important component in a wide variety of network management operations, e.g., Quality of Service (QoS) provisioning and security services .
Edit intent: clarity
Original:  Machine Learning (ML) algorithms as a common approach for NTC methods can achieve reasonable accuracy and handle encrypted traffic.
Revised:  Machine Learning (ML) algorithms as a popular approach for NTC methods can achieve reasonable accuracy and handle encrypted traffic.
Edit intent: clarity
Original:  Machine Learning (ML) algorithms as a common approach for NTC methods can achieve reasonable accuracy and handle encrypted traffic.
Revised:  Machine Learning (ML) algorithms as a common approach for NTC can promise reasonable accuracy in classification and deal with encrypted traffic.
Edit intent: clarity
Original:  This study investigates the applicability of an active form of ML, called Active Learning (AL), which reduces the need for a high number of labeled examples by actively choosing the instances that should be labeled.
Revised:  This study investigates the applicability of an active form of ML, called Active Learning (AL), which reduces the need for a large number of labeled examples by actively choosing the instances that should be labeled.
Edit intent: clarity
Original:  The study first provides an overview of NTC and its fundamental challenges along with surveying the literature in the field of using ML techniques in NTC .
Revised:  The study first provides an overview of NTC and its fundamental challenges along with surveying the literature on ML-based NTC methods .
Edit intent: clarity
Original:  Further, challenges and open issues in the use of AL for NTC are discussed.
Revised:  Further, challenges and open issues in AL-based classification of network traffic are discussed.
Edit intent: clarity
Original:  Additionally , as a technical survey, some experiments are conducted to show the broad applicability of AL in NTC.
Revised:  Moreover , as a technical survey, some experiments are conducted to show the broad applicability of AL in NTC.
Edit intent: fluency
Original: The sixth generation (6G), unlike any  previous generations, is envisioned by 2030 to connect everything.
Revised: The sixth generation (6G), unlike any of the previous generations, is envisioned by 2030 to connect everything.
Edit intent: clarity
Original:  Moreover, in addition to the new use cases  6G is expected to support, it will need to provide a superior performance over 5G.
Revised:  Moreover, in addition to the new use cases , 6G is expected to support, it will need to provide a superior performance over 5G.
Edit intent: fluency
Original:  The global connectivity, large-network dimensions, users heterogeneity, extremely-low power consumption, high-throughput, ultra-reliability, efficient-network operation and maintenance, and low-latency requirements to be met by future networks inevitably necessitate the autonomy of 6G. Intelligence, facilitated mainly by the advancement and innovation of the artificial intelligence (AI) technique , is a key to achieve autonomy.
Revised:  The global connectivity, large network dimensions, users heterogeneity, extremely-low power consumption, high-throughput, ultra-reliability, efficient-network operation and maintenance, and low-latency requirements to be met by future networks inevitably necessitate the autonomy of 6G. Intelligence, facilitated mainly by the advancement and innovation of the artificial intelligence (AI) technique , is a key to achieve autonomy.
Edit intent: fluency
Original:  The global connectivity, large-network dimensions, users heterogeneity, extremely-low power consumption, high-throughput, ultra-reliability, efficient-network operation and maintenance, and low-latency requirements to be met by future networks inevitably necessitate the autonomy of 6G. Intelligence, facilitated mainly by the advancement and innovation of the artificial intelligence (AI) technique , is a key to achieve autonomy.
Revised:  The global connectivity, large-network dimensions, users heterogeneity, extremely low-power consumption, high throughput, ultrahigh reliability, efficient network operation and maintenance, and low-latency requirements to be met by future networks inevitably necessitate the autonomy of 6G. Intelligence, facilitated mainly by the advancement and innovation of the artificial intelligence (AI) technique , is a key to achieve autonomy.
Edit intent: clarity
Original:  The global connectivity, large-network dimensions, users heterogeneity, extremely-low power consumption, high-throughput, ultra-reliability, efficient-network operation and maintenance, and low-latency requirements to be met by future networks inevitably necessitate the autonomy of 6G. Intelligence, facilitated mainly by the advancement and innovation of the artificial intelligence (AI) technique , is a key to achieve autonomy.
Revised:  The global connectivity, large-network dimensions, users heterogeneity, extremely-low power consumption, high-throughput, ultra-reliability, efficient-network operation and maintenance, and low-latency requirements to be met by future networks inevitably necessitate the autonomy of 6G. Intelligence, facilitated mainly by the advancement of artificial intelligence (AI) technique , is a key to achieve autonomy.
Edit intent: clarity
Original:  The global connectivity, large-network dimensions, users heterogeneity, extremely-low power consumption, high-throughput, ultra-reliability, efficient-network operation and maintenance, and low-latency requirements to be met by future networks inevitably necessitate the autonomy of 6G. Intelligence, facilitated mainly by the advancement and innovation of the artificial intelligence (AI) technique , is a key to achieve autonomy.
Revised:  The global connectivity, large-network dimensions, users heterogeneity, extremely-low power consumption, high-throughput, ultra-reliability, efficient-network operation and maintenance, and low-latency requirements to be met by future networks inevitably necessitate the autonomy of 6G. Intelligence, facilitated mainly by the advancement and innovation of the artificial intelligence (AI) techniques , is a key to achieve autonomy.
Edit intent: fluency
Original:  In this paper  we provide a bird's-eye view of future networks, vision, progress, and objectives.
Revised:  In this paper , we provide a bird's-eye view of future networks, vision, progress, and objectives.
Edit intent: fluency
Original:  We review some of the 6G technologies that would be mainly enabling the globally-intelligent connected world.
Revised:  Furthermore, we present some technologies that would be mainly enabling the globally-intelligent connected world.
Edit intent: coherence
Original:  We review some of the 6G technologies that would be mainly enabling the globally-intelligent connected world.
Revised:  We review some of the 6G technologies that would be mainly enabling intelligent globally connected world.
Edit intent: fluency
Original:  We, in addition to discussing the role of AI in future networks, unlike any other review papers  provide our original results that emphasize the necessity of deploying AI for 6G networks .
Revised:  In addition to discussing the role of AI in future networks, unlike any other review papers provide our original results that emphasize the necessity of deploying AI for 6G networks .
Edit intent: coherence
Original:  We, in addition to discussing the role of AI in future networks, unlike any other review papers  provide our original results that emphasize the necessity of deploying AI for 6G networks .
Revised:  We, in addition to discussing the role of AI for future wireless communications, we, unlike any other review papers provide our original results that emphasize the necessity of deploying AI for 6G networks .
Edit intent: clarity
Original:  We, in addition to discussing the role of AI in future networks, unlike any other review papers  provide our original results that emphasize the necessity of deploying AI for 6G networks .
Revised:  We, in addition to discussing the role of AI in future networks, unlike any other review papers , provide our original results that emphasize the necessity of deploying AI for 6G networks .
Edit intent: fluency
Original:  We also very importantly identify 6G implementation challenges and key innovative techniques like quantum and blockchain to solve these challenges .
Revised:  We also very importantly identify 6G implementation challenges and key innovative techniques that promise to solve them .
Edit intent: clarity
Original:  This article serves as a starting point for learner to acquire more knowledge about 6G as it combines some of the main contributions in the area and provide some references for getting a more deeper knowledge, and also for researchers to contribute to the field.
Revised:  This article serves as a starting point for learners to acquire more knowledge about 6G as it combines some of the main contributions in the area and provide some references for getting a more deeper knowledge, and also for researchers to contribute to the field.
Edit intent: fluency
Original:  This article serves as a starting point for learner to acquire more knowledge about 6G as it combines some of the main contributions in the area and provide some references for getting a more deeper knowledge, and also for researchers to contribute to the field.
Revised:  This article serves as a starting point for learner to acquire more knowledge about 6G and also for researchers to contribute to the field.
Edit intent: coherence
Original:  This article serves as a starting point for learner to acquire more knowledge about 6G as it combines some of the main contributions in the area and provide some references for getting a more deeper knowledge, and also for researchers to contribute to the field.
Revised:  This article serves as a starting point for learner to acquire more knowledge about 6G as it combines some of the main contributions in the area and provide some references for getting a more deeper knowledge, and also for researchers to promote more development to the field.
Edit intent: clarity
Original:  This will be done by introducing a new data structure called Wise Red-Black Trees, a variation of classical Red-Black Trees.
Revised:  This will be done by introducing a new data structure called Wise Red-Black Tree, an augmented version of the Red-Black Trees.
Edit intent: clarity
Original: This paper describes the most efficient way to manage operations on groups of consecutive elements , or "blocks" of elements, within an ordered set.
Revised: This paper describes the most efficient way to manage operations on ranges of elements within an ordered set.
Edit intent: clarity
Original:  This is an high-impact operation in practical applications, and will be performed by introducing a new data structure called Wise Red-Black Tree, an augmented version of the Red-Black Tree.
Revised:  This is a high-impact operation in practical applications, and will be performed by introducing a new data structure called Wise Red-Black Tree, an augmented version of the Red-Black Tree.
Edit intent: fluency
Original:  This is an high-impact operation in practical applications, and will be performed by introducing a new data structure called Wise Red-Black Tree, an augmented version of the Red-Black Tree.
Revised:  This is an high-impact operation in practical applications, performed by introducing a new data structure called Wise Red-Black Tree, an augmented version of the Red-Black Tree.
Edit intent: coherence
Original:  SoundDet takes a novel approach and directly consumes the raw, multichannel waveform and treats the spatio-temporal sound event as a complete `` sound-object" to be detected.
Revised:  SoundDet takes a novel approach and directly consumes the raw, multichannel waveform and treats the spatio-temporal sound event as a complete " sound-object" to be detected.
Edit intent: fluency
Original:  However, on many markets such as foreign exchange cash markets, market makers have access to liquidity pools where they can unwind part of their inventory.
Revised:  However, on many markets such as foreign exchange cash markets, market makers have access to liquidity pools where they can hedge part of their inventory.
Edit intent: clarity