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預測市場參與者表現不如體育博彩玩家
Citizens 的分析顯示，預測市場的交易者表現不如傳統體育博彩玩家。這凸顯了在非體育領域進行預測的複雜性。
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Transformer 在 4 天預測問題上掙扎
一位從業人員使用 Transformer 模型預測未來 4 天可用性，但高峰日間負載期間總是預測「忙碌」。特徵包括日與時的 sin/cos 編碼加上訊號本身。類別權重調整未能解決不平衡問題。
EST Boosts Temporal KG Forecasting
Entity State Tuning (EST) introduces persistent entity states to TKG forecasters, overcoming stateless methods' long-term dependency issues. It uses a closed-loop design with topology-aware perception and dual-track evolution. Achieves state-of-the-art results across benchmarks with code on GitHub.
GTR Enhances Time Series Forecasting
Global Temporal Retriever (GTR) is a plug-and-play module extending MTSF models' context via global pattern retrieval. Uses adaptive embeddings, dynamic alignment, and 2D convolution fusion. SOTA results on six datasets with low overhead; code on GitHub.