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Ramesh C. Agarwal

Papers on DiSC'03


Predicting Rare Classes: Can Boosting Make Any Weak Learner Strong?

Publications


Note: Links lead to the DBLP on the Web.

Ramesh C. Agarwal

23 Lipyeow Lim , Min Wang , Sriram Padmanabhan , Jeffrey Scott Vitter , Ramesh C. Agarwal: Dynamic maintenance of web indexes using landmarks. WWW 2003 : 102-111

22 Mahesh V. Joshi , Ramesh C. Agarwal, Vipin Kumar : Predicting rare classes: can boosting make any weak learner strong? KDD 2002 : 297-306

21 Mahesh V. Joshi , Ramesh C. Agarwal, Vipin Kumar : Predicting Rare Classes: Comparing Two-Phase Rule Induction to Cost-Sensitive Boosting. PKDD 2002 : 237-249

20 Ramesh C. Agarwal, Robert F. Enenkel , Fred G. Gustavson , Alok Kothari , Mohammad Zubai : Fast pseudorandom-number generators with modulus 2k or 2k - 1 using fused multiply-ad. IBM Journal of Research and Development 46 (1): 97- (2002)

19 Sriram Padmanabhan , Timothy Malkemus , Ramesh C. Agarwal, Anant Jhingran : Block Oriented Processing of Relational Database Operations in Modern Computer Architectures. ICDE 2001 : 567-574

18 Mahesh V. Joshi , Vipin Kumar , Ramesh C. Agarwal: Evaluating Boosting Algorithms to Classify Rare Classes: Comparison and Improvements. ICDM 2001 : 257-264

17 Mahesh V. Joshi , Ramesh C. Agarwal: Mining Needle in a Haystack: Classifying Rare Classes via Two-phase Rule Induction. SIGMOD Conference 2001

16 Lipyeow Lim , Min Wang , Sriram Padmanabhan , Jeffrey Scott Vitter , Ramesh C. Agarwal: Characterizing Web Document Change. WAIM 2001 : 133-144

15 Ramesh C. Agarwal, Charu C. Aggarwal , V. V. V. Prasad : A Tree Projection Algorithm for Generation of Frequent Item Sets. Journal of Parallel and Distributed Computing 61 (3): 350-371 (2001)

14 Anshul Gupta , Pankaj Rohatgi , Ramesh C. Agarwal: Fast practical algorithms for the Boolean-product-witness-matrix problem. ISSAC 2000 : 146-152

13 Ramesh C. Agarwal, Charu C. Aggarwal , V. V. V. Prasad : Depth first generation of long patterns. KDD 2000 : 108-118

12 Ramesh C. Agarwal: A High Performance Parallel Implementation of the 3-D FFT Algorithm. PPSC 1999

11 Ramesh C. Agarwal, Fred G. Gustavson , Mohammad Zubair : Performance Tuning IBM RS/6000 POWER2 Systems. PARA 1996 : 1-13

10 Ramesh C. Agarwal: A Super Scalar Sort Algorithm for RISC Processors. SIGMOD Conference 1996 : 240-246

9 Ramesh C. Agarwal, Fred G. Gustavson , Susanne M. Balle , Mahesh V. Joshi , Prasad Palkar : A High Performance Matrix Manipulation Algorithm for MPPs. PARA 1995 : 1-8

8 Ramesh C. Agarwal, Fred G. Gustavson , Mahesh V. Joshi , Mohammad Zubair : A Scalable Parallel Block Algorithm for Band Cholesky Factorization. PPSC 1995 : 430-435

7 Ramesh C. Agarwal, Bowen Alpern , Larry Carter , Fred G. Gustavson , David J. Klepacki , Rick Lawrence , Mohammad Zubair : High-Performance Parallel Implementations of the NAS Kernel Benchmarks on the IBM SP2. IBM Systems Journal 34 (2): 263-272 (1995)

6 Ramesh C. Agarwal, Fred G. Gustavson , Mohammad Zubair : A Very High-Performance Algorithm for NAS EP Benchmark. HPCN 1994 : 164-169

5 Ramesh C. Agarwal, Fred G. Gustavson , Mohammad Zubair : A high performance parallel algorithm for 1-D FFT. SC 1994 : 34-40

4 Ramesh C. Agarwal, Fred G. Gustavson , Mohammad Zubair : A High Performance Algorithm Using Pre-Processing for the Sparse Matrix-Vector Multiplication. SC 1992 : 32-41

3 Ramesh C. Agarwal, Fred G. Gustavson , Joan McComb , Stanley Schmidt : Engineering and Scientific Subroutine Library Release 3 for IBM ES/3090 Vector Multiprocessors. IBM Systems Journal 28 (2): 345-350 (1989)

2 Ramesh C. Agarwal, James W. Cooley , Fred G. Gustavson , James B. Shearer , Gordon Slishman , Bryant Tuckerman : New Scalar and Vector Elementary Functions for the IBM System/370. IBM Journal of Research and Development 30 (2): 126-144 (1986)

1 Ramesh C. Agarwal, James W. Cooley : Fourier Transform and Convolution Subroutines for the IBM 3090 Vector Facility. IBM Journal of Research and Development 30 (2): 145-162 (1986)




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