Saturate tr saturate s Tr
Cslib.LTS.saturate_tr_saturate_sTr
Mathematical statement
In a saturated LTS, the transition and saturated transition relations are the same.
Source project: Lean Computer Science Library
Person-level attribution pending.
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Cslib.LTS.saturate_tr_saturate_sTr
Mathematical statement
In a saturated LTS, the transition and saturated transition relations are the same.
Source project: Lean Computer Science Library
Person-level attribution pending.
Cslib.LTS.totalize.nonsink_mtr_iff
Mathematical statement
In totalize, the multistep transitions between non-sink states correspond exactly to the multistep transitions in the original LTS.
Source project: Lean Computer Science Library
Person-level attribution pending.
Cslib.MachineLearning.PACLearning.ae_mem_versionSpace_of_realizable
Mathematical statement
Under iid sampling from the realizable joint distribution induced by c ∈ C and a probability measure P on α, the target concept c lies in the version space almost surely.
Source project: Lean Computer Science Library
Person-level attribution pending.
Cslib.MachineLearning.PACLearning.empiricalError_eq_div
Mathematical statement
The empirical 0-1 error equals the empirical miscount divided by the sample size.
Source project: Lean Computer Science Library
Person-level attribution pending.
Cslib.MachineLearning.PACLearning.error_map_eq_hypothesisError
Mathematical statement
Under a realizable distribution P.map (x ↦ (x, c(x))), the general 0-1 error coincides with the binary hypothesisError P h c, where h and c are viewed as subsets of α via the characteristic function decide (· ∈ ·).
Source project: Lean Computer Science Library
Person-level attribution pending.
Cslib.MachineLearning.PACLearning.IsPACLearnerFor.antitone_C
Mathematical statement
The deterministic PAC learner predicate is antitone in the concept class: a learner for a larger class C' is also a learner for any subclass C ⊆ C', since the agnostic benchmark optimalError _ C ≥ optimalError _ C' makes the error requirement easier.
Source project: Lean Computer Science Library
Person-level attribution pending.