classification

"I would like to apply my original horse racing prediction model to GI races for the next year to verify its performance. This article serves as a record summarizing the prediction results of the verified races and my thoughts on the model's behavior based on the actual race results."

""Once the intent is detected, I build an Execution Plan that toggles use_rag (Resume data) or use_verdict (Interview report). However, I’m seeing some 'intent bleed' where a user asks something like 'How can I improve my technical answer?' and the system struggles to decide whether to pull from the Resume (technical skills) or the Verdict (how they actually performed).""

"1位 FDVTS_WBC は「データで適応」（テスト画像への自己学習）、2位 PathMedAI は「知識で補強」（細胞形態の生物学的フィルタ）— 真逆のアプローチが Δ0.006 の僅差で並んだのが面白いですね。"

"The design that makes misclassification "recoverable" is what separates whether LLM classification can be used in production."

"Our experiments reveal a significant performance gap: score-based models achieve 91% accuracy, while text-based models reach only 81% even with large language models, indicating that textual information is considerably less reliable."

"The existing implementation was ML model-based, but there were a few challenges: High cost to add new categories (retraining required), low accuracy in determining "non-contracts" (invoices and internal memos misclassified as contracts), and complex multilingual support (need to prepare models for each language)."

"大規模Webサービスのリプレイスプロジェクトで、結合テストにて検出された不具合チケット約900件を、4つの根本要因に分類する必要がありました。手作業で1件ずつ読んで分類すると、1件あたり1〜2分として少なくとも丸2日。しかも人によって判断がブレます。そこでLLMを活用して自動分類に挑戦し、未分類ゼロ（100%分類） を達成しました。"

"We introduce MARINER, a comprehensive benchmark built under the novel Entity-Environment-Event (3E) paradigm... revealing that even advanced models struggle with fine-grained discrimination and causal reasoning in complex marine scenes."

"I would like to apply my自制 horse racing prediction model to the G1 races over the next year and verify its performance."

"The final model building process is presented, making it possible to classify unknown data with a high accuracy of approximately 95.6%."

"The goal is to build a system that takes a song as input and predicts multiple things like genre, mood, and singer gender."

"If you’ve ever trained a model that performed perfectly on your dataset but failed miserably in the real world, this quick visual guide shows why it happens and how concepts like generalization, loss functions, and evaluation metrics help you build models that actually work outside your training data."

"Algorithms are numerous, but once you decide 'what you want to do,' the choices narrow down significantly. Let's start there."

"I open-sourced TRACER: replace +90% of LLM classification calls with a llightweigth ML surrogate trained on your LLM's own outputs"

"Quantum kernel methods are an approach that efficiently calculates inner products in high-dimensional feature spaces using quantum computers. It is particularly effective for the classification of ADMET (absorption, distribution, metabolism, excretion, and toxicity) characteristics."

"study of Deep Learning Technique for Improving brain tumor classification"

"In vol1, we will handle 2. photo type classification."

"Teams are discovering that overconfident [...]"

"Extensive empirical results show that our model consistently outperforms conventional SDE-BNNs across various tasks, including image classification and sequence modeling, achieving lower NFEs and improved predictive accuracy."

"Quantum transfer learning highlights: Convolutional features (95% parameters) of ResNet18 pre-trained on ImageNet are frozen; only quantum circuits (4 qubits x 4 layers = 48 parameters) are trained."

"The BioDCASE 2026 Cross-Domain Mosquito Species Classification (CD-MSC) challenge is designed around this deployment problem by evaluating performance on both seen and unseen domains."

"This article organizes the Kaggle Titanic problem using logistic regression, covering problem settings, mathematical formulas, preprocessing, features, evaluation methods, and what cross-validation is, also serving as a memo for myself."

"This article goes a step further and classifies sounds using MFCC."

"In our approach, the processing is achieved as an anticipated local resonance or echo in a group of coupled chaotic oscillators, driven by external data input."

"experimental results show that, compared with the previous BLS and CNNs methods existed, the accuracy of FBP was improved by E-BLS and ER-BLS, demonstrating the effectiveness and superiority of the method presented, which can also be widely used in pattern recognition, object detection and image classification."

"✅ AI or Not: 93.06% (67/72)"

"Our experiments demonstrate that BYOL-A embeddings outperform other pre-trained models, such as PANNs and VGGish, achieving an accuracy of 81.5% on the GTZAN dataset and 64.3% on FMA-Small."

"In machine learning, computers apply statistical learning techniques to automatically identify patterns in data."

"こうして日本語にするだけで、「この品種は花びらが長いのかな」といったちょっとした発見がしやすくなります。"

"This paper presents a clustering-guided mHC Mamba model (mHC-HSI) for enhanced HSI classification, with the following contributions."