yusuke1997/dblp-id-title huggingface dataset:
Fast and Accurate Hashing Via Iterative Nearest Neighbors Expansion
Dynamic Event-Triggered Model Reference Adaptive Control for Uncertain Switched Systems
Solving Generalized Vehicle Routing Problem With Occasional Drivers via Evolutionary Multitasking
Robust Adaptive Fault-Tolerant Tracking Control for Nonaffine Stochastic Nonlinear Systems With Full-State Constraints
Error Correcting Input and Output Hashing
Distributed Secure Filtering for Discrete-Time Systems Under Round-Robin Protocol and Deception Attacks
Integral BLF-Based Adaptive Dynamic Event-Triggered Boundary Control for a Flexible Riser System
Localized Multiple Kernel Learning Via Sample-Wise Alternating Optimization
Finite-Time Extended Dissipative Filtering for Singular T-S Fuzzy Systems With Nonhomogeneous Markov Jumps
Hierarchical Robust Generalized Nash Equilibrium Seeking of High-Order Uncertain Nonlinear Systems
Hand-Dorsa Vein Recognition by Matching Local Features of Multisource Keypoints
Efficacy of Regularized Multitask Learning Based on SVM Models
Task-Space Synchronization of Networked Mechanical Systems With Uncertain Parameters and Communication Delays
Adaptive Safety-Based Tracking Control for Uncertain Robotic Systems With Input-Output Constraints: A Neural Network-Based Augmented High-Order Control Barrier Function Approach
SMSPL: Robust Multimodal Approach to Integrative Analysis of Multiomics Data
Fuzzy-Based Concept Learning Method: Exploiting Data With Fuzzy Conceptual Clustering
Tensor Completion-Based Incomplete Multiview Clustering
A Novel Self-Organizing Fuzzy Neural Network to Learn and Mimic Habitual Sequential Tasks
A General Matrix Function Dimensionality Reduction Framework and Extension for Manifold Learning
Stability and Stabilization of T-S Fuzzy Systems With Time-Varying Delays via Delay-Product-Type Functional Method
Integral Compensation Function Observer and Its Application to Disturbance-Rejection Control of QUAV Attitude
Distributed Optimal Consensus Filter for Target Tracking in Heterogeneous Sensor Networks
Leader-Following Secure Output Consensus of Heterogeneous Multiagent Systems Based on Two Sampling Mechanisms Under Hybrid Cyber-Attacks
An Inertial Projection Neural Network for Solving Variational Inequalities
A New Neural Dynamic Learning Framework for Discrete-Time Strict-Feedback Systems: Internal Interaction-Based Weight Adaptive Laws
Benchmarking a Multimodal and Multiview and Interactive Dataset for Human Action Recognition
Multitask Feature Learning Meets Robust Tensor Decomposition for EEG Classification
Robust Filtering for a Class of Networked Nonlinear Systems With Switching Communication Channels
Distributed Secure State Estimation and Control for CPSs Under Sensor Attacks
Adaptive Neural Network Control of a Flapping Wing Micro Aerial Vehicle With Disturbance Observer
Optimal Control of Epidemic Information Dissemination Over Networks
Dimensionality Reduction of Hyperspectral Imagery Based on Spatial-Spectral Manifold Learning
Bounded Containment Maneuvering Protocols for Marine Surface Vehicles With Quantized Communications and Tracking Errors Constrained Guidance: Theory and Experiment
Block-Row Sparse Multiview Multilabel Learning for Image Classification
Visual Tracking via Weighted Local Cosine Similarity
Sliding-Mode-Based Admissible Consensus Tracking of Nonlinear Singular Multiagent Systems Under Jointly Connected Topologies
Ordered Subspace Clustering With Block-Diagonal Priors
Overlapping Community Detection in Directed and Undirected Attributed Networks Using a Multiobjective Evolutionary Algorithm
Synchronization of Delayed Memristive Neural Networks: Robust Analysis Approach
Stacked Extreme Learning Machines
Fuzzy-Rough Simultaneous Attribute Selection and Feature Extraction Algorithm
EEG-Oriented Self-Supervised Learning With Triple Information Pathways Network
Optimal Selection of Parameters for Nonuniform Embedding of Chaotic Time Series Using Ant Colony Optimization
Event-Triggered Dynamic Positioning for Mass-Switched Unmanned Marine Vehicles in Network Environments
Data Stream Clustering: Introducing Recursively Extendable Aggregation Functions for Incremental Cluster Fusion Processes
A New Stochastic Sliding-Mode Design for Descriptor Fuzzy Systems With Time-Varying Delay
ASIF-Net: Attention Steered Interweave Fusion Network for RGB-D Salient Object Detection
Adaptive Resilient Flexible-Containment Control for Fully Heterogeneous MASs Subject to DoS Attacks and Asynchronous Semi-Markov Chains
Invariant Ellipsoids Method for Homogeneous Leader-Following Consensus Control
3DSN-Net: A 3-D Scale-Aware convNet With Nonlocal Context Guidance for Kidney and Tumor Segmentation From CT Volumes
Robust Data-Driven Iterative Learning Control for Linear-Time-Invariant and Hammerstein-Wiener Systems
Controllability and Synchronization Analysis of Identical-Hierarchy Mixed-Valued Logical Control Networks
Safety-Critical Model Reference Adaptive Control of Switched Nonlinear Systems With Unsafe Subsystems: A State-Dependent Switching Approach
Distributed Output Regulation for a Class of Nonlinear Multiagent Systems With Dynamic Edges
Multiobjective Vehicle Routing Problems With Simultaneous Delivery and Pickup and Time Windows: Formulation, Instances, and Algorithms
Fuzzy Finite-Time Command Filtered Control of Nonlinear Systems With Input Saturation
Weighted Fuzzy Clustering for Time Series With Trend-Based Information Granulation
Increasing the Robustness of Deep Learning Models for Object Segmentation: A Framework for Blending Automatically Annotated Real and Synthetic Data
Distributed Optimization Design for Computation of Algebraic Riccati Inequalities
Identification of Multievent Stochastic Fuzzy Discrete Event Systems
Incremental Passivity and Incremental Passivity-Based Output Regulation for Switched Discrete-Time Systems
Safety-Critical Receding-Horizon Planning and Formation Control of Autonomous Surface Vehicles via Collaborative Neurodynamic Optimization
Distributed Secure Control Against Denial-of-Service Attacks in Cyber-Physical Systems Based on K-Connected Communication Topology
Adaptive Fixed-Time Control for High-Order Stochastic Nonlinear Time-Delay Systems: An Improved Lyapunov-Krasovskii Function
Reinforcement Learning With Multiple Relational Attention for Solving Vehicle Routing Problems
Optimal Reconstruction of Probabilistic Boolean Networks
Parallel Control With Adaptive Critic-Actor Learning Implementation for State and Input Time-Delayed Nonlinear Continuous-Time Systems
Evaluating Belief Structure Satisfaction to Uncertain Target Values
Prescribed-Time Output Feedback Control for Cyber-Physical Systems Under Output Constraints and Malicious Attacks
Explicit Evolutionary Multitasking for Combinatorial Optimization: A Case Study on Capacitated Vehicle Routing Problem
Target Tracking Systems on a Sphere With Topographic Information
A Multiattribute Decision-Making Framework for Multidisciplinary Lung Cancer Treatment Considering Expert Willingness for Opinion Transformation
Multiview Deep Graph Infomax to Achieve Unsupervised Graph Embedding
Submanifold-Preserving Discriminant Analysis With an Auto-Optimized Graph
Semi-Supervised SVM With Extended Hidden Features
Quantization-Based Adaptive Fuzzy Consensus for Multiagent Systems Under Sensor Deception Attacks: A Novel Compensation Mechanism
A Robust and Fast Method for Sidescan Sonar Image Segmentation Using Nonlocal Despeckling and Active Contour Model
Adaptive Prescribed-Time Control of Time-Delay Nonlinear Systems via a Double Time-Varying Gain Approach
Distributed State-Saturated Recursive Filtering Over Sensor Networks Under Round-Robin Protocol
Stochastic Optimal Linear Control for Generalized Cost Functions With Time-Invariant Stochastic Parameters
Event-Driven Off-Policy Reinforcement Learning for Control of Interconnected Systems
IMS-CDA: Prediction of CircRNA-Disease Associations From the Integration of Multisource Similarity Information With Deep Stacked Autoencoder Model
Embedding Human Expert Cognition Into Autonomous UAS Trajectory Planning
Expert System-Based Multiagent Deep Deterministic Policy Gradient for Swarm Robot Decision Making
On the Bipartite Consensus for Generic Linear Multiagent Systems With Input Saturation
$H_\infty$ Consensus for Linear Heterogeneous Multiagent Systems Based on Event-Triggered Output Feedback Control Scheme
Distributed Online Stochastic-Constrained Convex Optimization With Bandit Feedback
An Ant Colony Optimization-Based Multiobjective Service Replicas Placement Strategy for Fog Computing
A Self-Adaptive Differential Evolution Algorithm for Scheduling a Single Batch-Processing Machine With Arbitrary Job Sizes and Release Times
Structural Laplacian Eigenmaps for Modeling Sets of Multivariate Sequences
Fuzzy SMC for Quantized Nonlinear Stochastic Switching Systems With Semi-Markovian Process and Application
A Novel Extreme Learning Control Framework of Unmanned Surface Vehicles
FedLGA: Toward System-Heterogeneity of Federated Learning via Local Gradient Approximation
Adaptive Event-Triggered Control for Unknown Second-Order Nonlinear Multiagent Systems
Reachability Analysis of Cyber-Physical Systems Under Stealthy Attacks
Finite Time Fault Tolerant Control for Robot Manipulators Using Time Delay Estimation and Continuous Nonsingular Fast Terminal Sliding Mode Control
Composite Learning Based Adaptive Control of Linear 2 × 2 Hyperbolic PDE Systems
Adaptive Fuzzy Tracking Control Design for a Class of Uncertain Nonstrict-Feedback Fractional-Order Nonlinear SISO Systems
Modified BBO-Based Multivariate Time-Series Prediction System With Feature Subset Selection and Model Parameter Optimization
Matching Larger Image Areas for Unconstrained Face Identification
Online Adaboost-Based Parameterized Methods for Dynamic Distributed Network Intrusion Detection
ROSA: Robust Salient Object Detection Against Adversarial Attacks
MOEA/HD: A Multiobjective Evolutionary Algorithm Based on Hierarchical Decomposition
Event-Triggering-Learning-Based ADP Control for Post-Stall Pitching Maneuver of Aircraft
Ternary Adversarial Networks With Self-Supervision for Zero-Shot Cross-Modal Retrieval
Practical Fixed-Time Bipartite Synchronization of Uncertain Coupled Neural Networks Subject to Deception Attacks via Dual-Channel Event-Triggered Control
On Adaptive Learning Framework for Deep Weighted Sparse Autoencoder: A Multiobjective Evolutionary Algorithm
Optimal Control of Temporal Networks With Variable Input and Node-Source Connection
Rendezvous With Connectivity Preservation Problem of Linear Multiagent Systems via Parallel Event-Triggered Control Strategies
Resilient Collision-Free Distributed Optimal Coordination for Multiple Euler-Lagrangian Systems Under Unreliable Communication Topologies
Adaptive Neural Network Finite-Time Output Feedback Control of Quantized Nonlinear Systems
Cooperative Fault-Tolerant Output Regulation of Linear Heterogeneous Multiagent Systems via an Adaptive Dynamic Event-Triggered Mechanism
Data-Driven Model-Free Adaptive Dynamic Programming Resilient Control for Nonlinear Networked Control Systems Under DoS Attacks
Learning With Label Proportions via NPSVM
Privacy-Preserved Consensus Control for Second-Order Multiagent Systems: a Position and Velocity Simultaneous Perturbation Approach
Multikernel Correntropy for Robust Learning
An Intelligent Actuator Fault Reconstruction Scheme for Robotic Manipulators
Nonzero-Sum Game Reinforcement Learning for Performance Optimization in Large-Scale Industrial Processes
Supervised Categorical Metric Learning With Schatten p-Norms
Building Personalized Transportation Model for Online Taxi-Hailing Demand Prediction
A Unifying Framework for Human-Agent Collaborative Systems - Part II: Design Procedure and Application
Event-Triggered Cooperative Output Regulation of Heterogeneous Multiagent Systems Under Switching Directed Topologies
Distributed Jointly Sparse Multitask Learning Over Networks
A New Varying-Parameter Recurrent Neural-Network for Online Solution of Time-Varying Sylvester Equation
Further Results for Edge Convergence of Directed Signed Networks
Dynamic Event-Triggered Fault Detection for Markov Jump Systems Under DoS Attacks: A Simulated Annealing Algorithm-Based Optimization Approach
Enhancing Sketch-Based Image Retrieval by CNN Semantic Re-ranking
Person Reidentification via Unsupervised Cross-View Metric Learning
A Bi-Objective Constrained Robust Gate Assignment Problem: Formulation, Instances and Algorithm
TOPSIS-Based Consensus Model for Group Decision-Making With Incomplete Interval Fuzzy Preference Relations
Consensus of Linear Multivariable Discrete-Time Multiagent Systems: Differential Privacy Perspective
Point-Guided Contrastive Learning for Monocular 3-D Object Detection
Dynamical Behaviors of Multiple Equilibria in Competitive Neural Networks With Discontinuous Nonmonotonic Piecewise Linear Activation Functions
Modeling and Control of Single-Cell Migration Induced by a Chemoattractant-Loaded Microbead
The Effect of Sound on Visual Fidelity Perception in Stereoscopic 3-D
Distributed Optimal Consensus Control for Multiagent Systems With Input Delay
Composite Neural Dynamic Surface Control of a Class of Uncertain Nonlinear Systems in Strict-Feedback Form
Composite-Observer-Based Adaptive Consensus Tracking Control for Nonlinear MASs With Unknown Control Directions Against Deception Attacks
Multilevel Fine-Grained Features-Based General Framework for Object Detection
Influence Maximization in Multiagent Systems by a Graph Embedding Method: Dealing With Probabilistically Unstable Links
Decoder Choice Network for Metalearning
Iterative Rectifying Methods for Nonrepetitive Continuous-Time Learning Control Systems
Aperiodic Robust Model Predictive Control for Constrained Continuous-Time Nonlinear Systems: An Event-Triggered Approach
Gradient Descent Learning With Floats
Adaptive Backstepping Control for Nonlinear Vehicles With Guaranteed String Stability and Suppressed Cascade Fluctuations
Robust Delay-Dependent Load Frequency Control of Wind Power System Based on a Novel Reconstructed Model
Toward Risk Reduction for Mobile Service Composition
Optimal Interaction Priority Calculation From Hesitant Fuzzy Preference Relations Based on the Monte Carlo Simulation Method for the Acceptable Consistency and Consensus
Trend-Based Granular Representation of Time Series and its Application in Clustering
Effective Transfer Learning Algorithm in Spiking Neural Networks
Tension-Relaxation In Vivo Computing Principle for Tumor Sensitization and Targeting
Weakly Supervised Deep Learning for Brain Disease Prognosis Using MRI and Incomplete Clinical Scores
Aeroengine Bearing Time-Varying Skidding Assessment With Prior Knowledge-Embedded Dual Feedback Spatial-Temporal GCN
MARF: Multiscale Adaptive-Switch Random Forest for Leg Detection With 2-D Laser Scanners
Robust Extreme Learning Machine With its Application to Indoor Positioning
Learning Relationship-Enhanced Semantic Graph for Fine-Grained Image-Text Matching
Learning Salient Feature for Salient Object Detection Without Labels
Multilayer Joint Gait-Pose Manifolds for Human Gait Motion Modeling
An Approach to Semantic-Aware Heterogeneous Network Embedding for Recommender Systems
An Efficient Approach for Estimating Domain of Attraction of Complex Network
Adaptive Event-Triggered Control for Switched p-Normal Nonlinear Systems via Output Feedback
Policy-Iteration-Based Active Disturbance Rejection Control for Uncertain Nonlinear Systems With Unknown Relative Degree
Knowledge-Level Fusion: A Novel Information Fusion Mode From the Perspective of Granular Computing
Fully Adaptive Practical Time-Varying Output Formation Tracking for High-Order Nonlinear Stochastic Multiagent System With Multiple Leaders
ADP-Based Online Tracking Control of Partially Uncertain Time-Delayed Nonlinear System and Application to Wheeled Mobile Robots
Integrating Deep Model-Based Learning With Modular State-Based Stackelberg Games for Self-Optimizing Distributed Production Systems
Multichannel Image Completion With Mixture Noise: Adaptive Sparse Low-Rank Tensor Subspace Meets Nonlocal Self-Similarity
Resilient Distributed Fuzzy Load Frequency Regulation for Power Systems Under Cross-Layer Random Denial-of-Service Attacks
Neural-Network-Based Immune Optimization Regulation Using Adaptive Dynamic Programming
Spectral-Adaptive Consensus Algorithm for Robust Fault Mitigation in Decentralized Smart Manufacturing Networks
Online Reconstruction of Complex Networks From Streaming Data
Uncovering Reward Goals in Distributed Drone Swarms Using Physics-Informed Multiagent Inverse Reinforcement Learning
Asymmetric Weighted Logistic Metric Learning for Hyperspectral Target Detection
Multistep Prediction of Physiological Tremor Based on Machine Learning for Robotics Assisted Microsurgery
Extension of Stochastic Point Location for Multimodal Problems
A New Differential Evolution Algorithm for Minimax Optimization in Robust Design
Event-Triggered Consensus Control for Networked Underactuated Robotic Systems
Graph Ensemble Boosting for Imbalanced Noisy Graph Stream Classification
Dynamic Perimeter Surveillance of Multiagent Systems: A Swarm-Based Approach
Temporally Constrained Sparse Group Spatial Patterns for Motor Imagery BCI
Neuroadaptive Control of Strict Feedback Systems With Full-State Constraints and Unknown Actuation Characteristics: An Inexpensive Solution
Development of Gas-Liquid Flow Regimes Identification Using a Noninvasive Ultrasonic Sensor, Belt-Shape Features, and Convolutional Neural Network in an S-Shaped Riser
CSMVC: A Multiview Method for Multivariate Time-Series Clustering
Multiscale Drift Detection Test to Enable Fast Learning in Nonstationary Environments
Stability Analysis of Discrete-Time Neural Networks With a Time-Varying Delay: Extended Free-Weighting Matrices Zero Equation Approach
Effects of Controlled Element Dynamics on Human Feedforward Behavior in Ramp-Tracking Tasks
A Differential Evolution-Based Consistency Improvement Method in AHP With an Optimal Allocation of Information Granularity
Fixed-Time Cooperative Behavioral Control for Networked Autonomous Agents With Second-Order Nonlinear Dynamics
Multilayer Extreme Learning Machine With Subnetwork Nodes for Representation Learning
Granular Flow Graph, Adaptive Rule Generation and Tracking
Joint Feature Selection and Classification for Multilabel Learning
Cluster Synchronization of Finite-Field Networks
Sliding-Mode Control for Perturbed MIMO Systems With Time-Synchronized Convergence
δ-Norm-Based Robust Regression With Applications to Image Analysis
A New Event-Triggered Adaptive Fixed-Time Control Design for Uncertain Nonlinear Systems
A Fast Distributed Variational Bayesian Filtering for Multisensor LTV System With Non-Gaussian Noise
Zero-Sum Differential Game-Based Fault-Tolerant Control for a Class of Affine Nonlinear Systems
Fuzzy Approximation-Based Finite-Time Control for a Robot With Actuator Saturation Under Time-Varying Constraints of Work Space
Dynamic-Memory Event-Triggered H ∞ Load Frequency Control for Reconstructed Switched Model of Power Systems Under Hybrid Attacks
Principal Component Analysis by $L_{p}$ -Norm Maximization
Simultaneous Observation of Hybrid States for Cyber-Physical Systems: A Case Study of Electric Vehicle Powertrain
ALIS: Learning Affective Causality Behind Daily Activities From a Wearable Life-Log System
A Dirichlet Process Mixture of Robust Task Models for Scalable Lifelong Reinforcement Learning
Optimal Stealthy Deception Attack Against Cyber-Physical Systems
Adaptive Fuzzy Output-Constrained Control for Nonlinear Stochastic Systems With Input Delay and Unknown Control Coefficients
Iterative Learning Control for Pareto Optimal Tracking in Incompatible Multisensor Systems
Consensus of Multiagent Systems Using Aperiodic Sampled-Data Control
Error Analysis of Stochastic Gradient Descent Ranking
Adaptive Nussbaum Design for Nonholonomic Systems With Asymptotic Stabilization Against False Data Injection
Model-Free Adaptive Control for Unknown Nonlinear Zero-Sum Differential Game
Dissipativity-Based Disturbance Attenuation Control for T-S Fuzzy Markov Jumping Systems With Nonlinear Multisource Uncertainties and Partly Unknown Transition Probabilities
Uniform Distribution Non-Negative Matrix Factorization for Multiview Clustering
Multipe/Single-View Human Action Recognition via Part-Induced Multitask Structural Learning
Corrections to "Finite-Time Attitude Tracking Control for Spacecraft Using Terminal Sliding Model and Chebyshev Neural Network"
Weakly Supervised Multilabel Clustering and its Applications in Computer Vision
Trust and Compactness in Social Network Groups
Unsupervised Landmark Detection-Based Spatiotemporal Motion Estimation for 4-D Dynamic Medical Images
Design and Pipeline Tracking Control of an Underwater Biomimetic Vehicle-Manipulator System With Hybrid Propulsion
Distributed Nash Equilibrium Seeking in Consistency-Constrained Multicoalition Games
A Scalable-Bandwidth Extended State Observer-Based Adaptive Sliding-Mode Control for the Dissolved Oxygen in a Wastewater Treatment Process
Sliding-Mode Control of T-S Fuzzy Systems Under Weighted Try-Once-Discard Protocol
Exponential Local Discriminant Embedding and Its Application to Face Recognition
Hierarchical Stability Conditions for Two Types of Time-Varying Delay Generalized Neural Networks
A New Binary Particle Swarm Optimization Approach: Momentum and Dynamic Balance Between Exploration and Exploitation
An Evolutionary Multiobjective Route Grouping-Based Heuristic Algorithm for Large-Scale Capacitated Vehicle Routing Problems
Leader-Following Sampled-Data Consensus of Multiagent Systems With Successive Packet Losses and Stochastic Sampling
Solving Expensive Optimization Problems in Dynamic Environments With Meta-Learning
Some Necessary and Sufficient Conditions for Synchronization of Second-Order Interconnected Networks
Spectral-Spatial Weighted Kernel Manifold Embedded Distribution Alignment for Remote Sensing Image Classification
Perceptually Guided Photo Retargeting
Fault Detection in Finite Frequency Domain for Takagi-Sugeno Fuzzy Systems With Sensor Faults
Analysis of Equilibria for a Class of Recurrent Neural Networks With Two Subnetworks
Learning-Based Quantum Robust Control: Algorithm, Applications, and Experiments
Differentially Private Malicious Agent Avoidance in Multiagent Advising Learning
Extremely High-Dimensional Feature Selection via Feature Generating Samplings
Adaptive Cooperative Control With Guaranteed Convergence in Time-Varying Networks of Nonlinear Dynamical Systems
A Three-Way Optimization Technique for Noise Robust Moving Object Detection Using Tensor Low-Rank Approximation, l 1/2 , and TTV Regularizations
Neural-Learning-Based Telerobot Control With Guaranteed Performance
Iterative Learning Tracking for Multisensor Systems: A Weighted Optimization Approach
Network-Based T-S Fuzzy Dynamic Positioning Controller Design for Unmanned Marine Vehicles
Evolutionary Dynamics-Driven Learning of Optimal Decisions for Nonlinear System: Extend-Policy Iterative Algorithm
Event-Triggered Adaptive Output-Feedback Control of Switched Stochastic Nonlinear Systems With Actuator Failures: A Modified MDADT Method
Shared Linear Encoder-Based Multikernel Gaussian Process Latent Variable Model for Visual Classification
Scalable Discrete Matrix Factorization and Semantic Autoencoder for Cross-Media Retrieval
Adaptive Trajectory Tracking of Nonholonomic Mobile Robots Using Vision-Based Position and Velocity Estimation
Adaptive Event-Triggered Transmission Scheme and H ∞ Filtering Co-Design Over a Filtering Network With Switching Topology
Bounded Consensus Tracking of Heterogeneous Multiagent Systems Under Digraphs With Diverse Communication and Input Delays
Adaptive Appointed-Time Consensus Control of Networked Euler-Lagrange Systems With Connectivity Preservation
Biometric Recognition Based on Free-Text Keystroke Dynamics
A Self-Learning Discrete Jaya Algorithm for Multiobjective Energy-Efficient Distributed No-Idle Flow-Shop Scheduling Problem in Heterogeneous Factory System
On Iterative Proportional Updating: Limitations and Improvements for General Population Synthesis
Actor-Critic With Synthesis Loss for Solving Approximation Biases
Feature Selection Based on Dependency Margin