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Sequential Minimal Optimization for $\varepsilon$-SVR with MAPE Loss and Sample-Dependent Box Constraints
arXiv:2605.01446v3 Announce Type: replace Abstract: Support vector regression with Mean Absolute Percentage Error (MAPE) loss is theoretically well-motivated for forecasting applications where accuracy is evaluated in relative terms, but the sample-dependent dual box constraints it induces have not been addressed in the published SMO literature. We derive a Sequential Minimal Optimization algorithm for this setting and prove a structural-invariance result: the MAPE modification affects...
Show HN: Solving complex optimization problems with Google OR-Tools in browser
Solve complex optimization models from TypeScript with Google OR-Tools running as multithreaded WebAssembly. Used in PragmaPlanner Run the local test site: npm install npm run dev Install from npm: npm install or-tools-wasm Import the solver API you need from its subpath: import { CpSat } from 'or-tools-wasm/cp-sat'; Public solver APIs live under solver-scoped subpaths: import { CpModel, CpSolver } from 'or-tools-wasm/cp-sat'; import { RoutingIndexManager, RoutingModel } from...