Sala, Fred

 Random Link ¯\_(ツ)_/¯ Oct 4, 2021 » Online Markets 4 min; updated Jan 7, 2022 WWW ‘21: The Web Conference 2021 REST: Relational Event-Driven Stock Trend Forecasting REST, an event-driven stock trend forecasting framework, that overcomes two limitations of existing event-driven models. Models the stock context, and learns the effect of event information on the stocks under different contexts. Constructs a stock graph and designs a new propagation layer to propagate the effect of event information from related stocks. The value of stock trend forecasting is not unanimous, e.... Oct 10, 2020 » Similarity Measures 2 min; updated Nov 6, 2021 To classify something, find things that are similar and label it with the same class as the most similar thing. The feature space is $$N-d$$, where $$N$$ is the number of features. Each instance is mapped to a point. The descriptive features become the axes. The Similarity Metric Mathematically, it must conform to these 4 criteria: Non-negative: $$f(a, b) \ge 0$$ Identity: $$f(a, b) = 0 \iff a = b$$ Symmetry: $$f(a, b) = f(b, a)$$ Triangular inequality: $$f(a, b) \le f(a, c) + f(c, b)$$ Why are non-negativity and triangular inequality important?... Oct 10, 2020 » Similarity Measures 2 min; updated Nov 6, 2021 To classify something, find things that are similar and label it with the same class as the most similar thing. The feature space is $$N-d$$, where $$N$$ is the number of features. Each instance is mapped to a point. The descriptive features become the axes. The Similarity Metric Mathematically, it must conform to these 4 criteria: Non-negativity: $$f(a, b) \ge 0$$ Identity of Indiscernables: $$f(a, b) = 0 \iff a = b$$ Symmetry: $$f(a, b) = f(b, a)$$ Subaddivity (Triangular inequality): $$f(a, b) \le f(a, c) + f(c, b)$$ Why are non-negativity and triangular inequality important?...