{"product_id":"computational-collective-intelligence-ngoc-thanh-nguyen-ebook","title":"Computational Collective Intelligence","description":"\u003cp\u003e\u003cstrong\u003e.- Collective Intelligence and Collective Decision-Making.\u003c\/strong\u003e\u003cbr\u003e.- The Hive Mind in Silicon: Situating Large Language Models within Computational Collective Intelligence.\u003cbr\u003e.- Measuring Fairness Metrics Robustness Through Collective Ranking Aggregation Under Controlled Bias Injections.\u003cbr\u003e.- CAF-Gen: A Multi-Agent System for Enriching Argumentation Structures.\u003cbr\u003e.- Sentiment drift and bias of agent collectives.\u003cbr\u003e.- Trajectory Separation for Scalable Credit Assignment in Cooperative Multi-Agent Reinforcement Learning.\u003cbr\u003e.- Evaluating the Robustness of Homogeneous Multi-Agent PPO Algorithm Against Observation Perturbations in Cooperative Multi-Agent Tasks.\u003cbr\u003e.- Formal Reasoning and Guidance Platform for Transparent Scaffolding for Multi-Agent Debate.\u003cbr\u003e.- A Conjunctive-Disjunctive Aggregation Framework for Asymmetric Interval Numbers.\u003cbr\u003e.- Epistemic Instrumental Convergence in Partially Observable Agents.\u003cbr\u003e\u003cstrong\u003e.- Quantum for Collective.\u003c\/strong\u003e\u003cbr\u003e.- Dual-Quantum Vowel Recognition.\u003cbr\u003e.- Exploring Hamiltonian Control of a Quantum Walk Environment via Reinforcement Learning: A Case Study on the Traveling Salesman Problem.\u003cbr\u003e.- Volumetric Benchmarking of IQM-Spark: Parity-Preserving Quantum Volume and Compilation Overheads in Odra 5.\u003cbr\u003e.- Autoencoder-Based Hybrid Quantum Classification of MNIST on ODRA 5.\u003cbr\u003e.- Performance Analysis of the HHL Algorithm on the Odra 5 Quantum Computer.\u003cbr\u003e\u003cstrong\u003e.- Collective Intelligence in Deep Learning Techniques.\u003c\/strong\u003e\u003cbr\u003e.- When Interpretable Parameters Fail to Explain: Evidence from the Rescorla–Wagner Model.\u003cbr\u003e.- Sparse Neural Code Representations for Reinforcement Learning with Linear Action-Value Function Approximation.\u003cbr\u003e.- A Systematic Explainability Framework for Hybrid Spatio-Temporal Models based on Integrated Gradients.\u003cbr\u003e.- Prompt-guided Resource-aware Neural Architecture Search for TinyML Object Detection Models.\u003cbr\u003e.- Benchmarking Deep Learning and Transformer-based Models for ECG Signal Imputation.\u003cbr\u003e.- Influence of Recursive Grouping of Neuron Inputs on Contextual Neural Networks in Classification Tasks.\u003cbr\u003e.- A Mahalanobis-Regularized Geometry-Aware Variational Autoencoder for Explainable Credit Card Fraud Detection.\u003cbr\u003e.- Edge QuantNet: An Ultralight Quantized SE-ResNet Architecture for Leaf Disease Classification on Resource-Constrained Devices.\u003cbr\u003e\u003cstrong\u003e.- Natural Language Processing.\u003c\/strong\u003e\u003cbr\u003e.- Unveiling the Valence–Dominance Ratio: Toward Recognizing Emotions in Tunisian Speech.\u003cbr\u003e.- Study of Deepfake Audio Detection in Telephone Speech with Pretrained Self-Supervised Models.\u003cbr\u003e.- When Silence Matters: How VAD-driven Whisper Architectures reshape Temporal Alignment in Low-Resource Multilingual ASR.\u003cbr\u003e.- Personalized Alignment of Large Language Models.\u003cbr\u003e.- LLM Compression with Jointly Optimizing Architectural and Quantization choices.\u003cbr\u003e\u003cstrong\u003e.- Collective Intelligence in Data Mining and Machine Learning.\u003c\/strong\u003e\u003cbr\u003e.- Macroscopic Design of Swarms with Collective State Machines.\u003cbr\u003e.- Reduction through Homogeneous Clustering with k-means++ Seeding.\u003cbr\u003e.- A Multimodal BiLSTM Model for Predicting Learner Question Performance Using Facial and Tabular Data.\u003cbr\u003e.- Interpretable Software Defect Prediction with Ensemble Models across Static and Process Metrics.\u003cbr\u003e.- Surrogate Modeling for Error Estimation in Time-Series Regression with CatBoost.\u003cbr\u003e.- A Novel Hybrid Ensemble Regression Framework for Residential Property Price Prediction in Athens Using Optimized Machine Learning Models.\u003c\/p\u003e","brand":"Ngoc Thanh Nguyen","offers":[{"title":"Default Title","offer_id":55118328234311,"sku":"9783032368683","price":85.59,"currency_code":"EUR","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0920\/5455\/2903\/files\/computational-collective-intelligence-ebook-cover.webp?v=1790051911","url":"https:\/\/www.cinebuch.de\/products\/computational-collective-intelligence-ngoc-thanh-nguyen-ebook","provider":"CineBuch","version":"1.0","type":"link"}