One-hot encoding

Representing categorical data as a vector in which:¹

One-hot encoding is commonly used to represent strings or identifiers that have a finite set of possible values..¹

Footnotes

Sparse features 이 글을 인용: “In a model, you typically represent sparse features with one-hot encoding.”
Connectionist approaches to language “For example, the pronunciation model of Plaut et al. (1996) acquires a combinatorially structured set of output…”
Memory manipulations in extended reality “manipulations occurring at encoding (i.e., simultaneously as the original perception of the event), which aim a…”
Language Models Know More Than They Show: Exploring Hallucinations From the Model's Viewpoint “Yet, we show that such error detectors fail to generalize across datasets, implying that -- contrary to prior c…”
Positional encoding “2024-11-25 - You could have designed state of the art positional encoding”
Programmer's brain 관련 절: 5.2. Roles and paradigms
벡터 공간 “In this context, the elements of are commonly called vectors, and the elements of are called scalars.”
Numerical data “Representing a feature as numerical data indicates that the feature's values have a mathematical relationship t…”
Data statements for natural language processing 주제어가 겹침