13 papers:
- ICALP-v1-2015-FontesJKLLR #communication #complexity
- Relative Discrepancy Does not Separate Information and Communication Complexity (LF, RJ, IK, SL, ML, JR), pp. 506–516.
- KDD-2015-CortesMM #adaptation #algorithm
- Adaptation Algorithm and Theory Based on Generalized Discrepancy (CC, MM, AMM), pp. 169–178.
- CIKM-2014-DongYMLSWWGY #multi #statistics
- Maximizing Multi-scale Spatial Statistical Discrepancy (WD, RY, CM, CL, LS, LW, YW, PG, JY), pp. 471–480.
- ICML-c1-2014-IyerNS #bound #convergence #estimation #kernel
- Maximum Mean Discrepancy for Class Ratio Estimation: Convergence Bounds and Kernel Selection (AI, SN, SS), pp. 530–538.
- SAT-2014-KonevL #satisfiability
- A SAT Attack on the Erdős Discrepancy Conjecture (BK, AL), pp. 219–226.
- STOC-2012-MuthukrishnanN
- Optimal private halfspace counting via discrepancy (SM, AN), pp. 1285–1292.
- DATE-2010-AlpaslanDKMHW #simulation
- NIM- a noise index model to estimate delay discrepancies between silicon and simulation (EA, JD, BK, AKM, WMH, PvdW), pp. 1373–1376.
- RE-2003-DeraitusM #requirements #why
- Customer Requirements and User Requirements: Why the Discrepancies (MD, AM), p. 279.
- PODS-2002-ChenC #clustering #multi #query
- From Discrepancy to Declustering: Near optimal multidimensional declustering strategies for range queries (CMC, CTC), pp. 29–38.
- ICALP-2001-SadakaneTT #algorithm #combinator #sequence
- Combinatorics and Algorithms on Low-Discrepancy Roundings of a Real Sequence (KS, NTC, TT), pp. 166–177.
- SEKE-2001-MorenoS #classification #detection #requirements
- A Method for Detection, Classification and Resolution of Discrepancies in Viewpoint-based Requirements Engineering (AMM, AS), pp. 110–119.
- SIGMOD-1991-KrishnamurthyLK #database
- Language Features for Interoperability of Databases with Schematic Discrepancies (RK, WL, WK), pp. 40–49.
- STOC-1991-CoffmanCGJMSWY #analysis #case study
- Fundamental Discrepancies between Average-Case Analyses under Discrete and Continuous Distributions: A Bin Packing Case Study (EGCJ, CC, MRG, DSJ, LAM, PWS, RRW, MY), pp. 230–240.