 | 2009 |
|---|
| 40 |       | Prashant Doshi:
Compact approximations of mixture distributions for state estimation in multiagent settings.
AAMAS (2) 2009: 1207-1208 |
| 39 | | Prashant Doshi,
Yifeng Zeng:
Improved approximation of interactive dynamic influence diagrams using discriminative model updates.
AAMAS (2) 2009: 907-914 |
| 38 | | Yifeng Zeng,
Prashant Doshi:
Speeding Up Exact Solutions of Interactive Dynamic Influence Diagrams Using Action Equivalence.
IJCAI 2009: 1996-2001 |
| 37 | | Prashant Doshi,
Yifeng Zeng,
Qiongyu Chen:
Graphical models for interactive POMDPs: representations and solutions.
Autonomous Agents and Multi-Agent Systems 18(3): 376-416 (2009) |
| 36 | | Prashant Doshi,
Piotr J. Gmytrasiewicz:
Monte Carlo Sampling Methods for Approximating Interactive POMDPs.
J. Artif. Intell. Res. (JAIR) 34: 297-337 (2009) |
| 35 | | Prashant Doshi,
Ravikanth Kolli,
Christopher Thomas:
Inexact matching of ontology graphs using expectation-maximization.
J. Web Sem. 7(2): 90-106 (2009) |
| 2008 |
|---|
| 34 |  | Prashant Doshi,
Dennis Perez:
Generalized Point Based Value Iteration for Interactive POMDPs.
AAAI 2008: 63-68 |
| 33 | | John Harney,
Prashant Doshi:
Speeding up web service composition with volatile external information.
CSSSIA 2008: 4 |
| 32 | | Yifeng Zeng,
Prashant Doshi:
An Information-Theoretic Approach to Model Identification in Interactive Influence Diagrams.
IAT 2008: 224-230 |
| 31 | | Prashant Doshi,
Toshihiro Matsui,
Marius Silaghi,
Makoto Yokoo,
Markus Zanker:
Distributed Private Constraint Optimization.
IAT 2008: 277-281 |
| 30 | | Boseon Byeon,
Khaled Rasheed,
Prashant Doshi:
Enhancing the Quality of Noisy Training Data Using a Genetic Algorithm and Prototype Selection.
IC-AI 2008: 821-827 |
| 29 | | Ravikanth Kolli,
Prashant Doshi:
OPTIMA: Tool for Ontology Alignment with Application to Semantic Reconciliation of Sensor Metadata for Publication in SensorMap.
ICSC 2008: 484-485 |
| 28 | | Yunzhou Wu,
Prashant Doshi:
Making BPEL Flexible – Adapting in the Context of Coordination Constraints Using WS-BPEL.
IEEE SCC (1) 2008: 423-430 |
| 27 | | Yunzhou Wu,
Prashant Doshi:
Making BPEL flexible: adapting in the context of coordination constraints using WS-BPEL.
WWW 2008: 1199-1200 |
| 26 | | John Harney,
Prashant Doshi:
Speeding up web service composition with volatile information.
WWW 2008: 1201-1202 |
| 2007 |
|---|
| 25 | | Prashant Doshi:
Improved State Estimation in Multiagent Settings with Continuous or Large Discrete State Spaces.
AAAI 2007: 712-717 |
| 24 | | Yifeng Zeng,
Prashant Doshi,
Qiongyu Chen:
Approximate Solutions of Interactive Dynamic Influence Diagrams Using Model Clustering.
AAAI 2007: 782-787 |
| 23 | | Prashant Doshi:
Approximate state estimation in multiagent settings with continuous or large discrete state spaces.
AAMAS 2007: 13 |
| 22 | | Prashant Doshi,
Yifeng Zeng,
Qiongyu Chen:
Graphical models for online solutions to interactive POMDPs.
AAMAS 2007: 217 |
| 21 | | Prashant Doshi:
On the Role of Interactive Epistemology in Multiagent Planning.
Artificial Intelligence and Pattern Recognition 2007: 208-213 |
| 20 | | Haibo Zhao,
Prashant Doshi:
Haley: A Hierarchical Framework for Logical Composition ofWeb Services.
ICWS 2007: 312-319 |
| 19 | | Girish Chafle,
Prashant Doshi,
John Harney,
Sumit Mittal,
Biplav Srivastava:
Improved Adaptation of Web Service Compositions Using Value of Changed Information.
ICWS 2007: 784-791 |
| 18 | | Yunzhou Wu,
Prashant Doshi:
Regret-Based Decentralized Adaptation ofWeb Processes with Coordination Constraints.
IEEE SCC 2007: 262-269 |
| 17 | | John Harney,
Prashant Doshi:
Speeding up adaptation of web service compositions using expiration times.
WWW 2007: 1023-1032 |
| 2006 |
|---|
| 16 | | Prashant Doshi,
Christopher Thomas:
Inexact Matching of Ontology Graphs Using Expectation-Maximization.
AAAI 2006 |
| 15 | | Prashant Doshi,
Piotr J. Gmytrasiewicz:
On the Difficulty of Achieving Equilibrium in Interactive POMDPs.
AAAI 2006 |
| 14 | | Bharaneedharan Rathnasabapathy,
Prashant Doshi,
Piotr J. Gmytrasiewicz:
Exact solutions of interactive POMDPs using behavioral equivalence.
AAMAS 2006: 1025-1032 |
| 13 | | Haibo Zhao,
Prashant Doshi:
A Hierarchical Framework for Composing Nested Web Processes.
ICSOC 2006: 116-128 |
| 12 | | John Harney,
Prashant Doshi:
Adaptive Web Processes Using Value of Changed Information.
ICSOC 2006: 179-190 |
| 11 | | Kunal Verma,
Prashant Doshi,
Karthik Gomadam,
John A. Miller,
Amit P. Sheth:
Optimal Adaptation in Web Processes with Coordination Constraints.
ICWS 2006: 257-264 |
| 2005 |
|---|
| 10 | | Prashant Doshi,
Piotr J. Gmytrasiewicz:
A Particle Filtering Based Approach to Approximating Interactive POMDPs.
AAAI 2005: 969-974 |
| 9 | | Prashant Doshi,
Piotr J. Gmytrasiewicz:
Approximating state estimation in multiagent settings using particle filters.
AAMAS 2005: 320-327 |
| 8 | | Prashant Doshi,
Richard Goodwin,
Rama Akkiraju,
Kunal Verma:
Dynamic Workflow Composition: Using Markov Decision Processes.
Int. J. Web Service Res. 2(1): 1-17 (2005) |
| 7 | | Piotr J. Gmytrasiewicz,
Prashant Doshi:
A Framework for Sequential Planning in Multi-Agent Settings.
J. Artif. Intell. Res. (JAIR) 24: 49-79 (2005) |
| 2004 |
|---|
| 6 | | Prashant Doshi:
A Framework for Optimal Sequential Planning in Multiagent Settings.
AAAI 2004: 985-986 |
| 5 | | Piotr J. Gmytrasiewicz,
Prashant Doshi:
Interactive POMDPs: Properties and Preliminary Results.
AAMAS 2004: 1374-1375 |
| 4 | | Piotr J. Gmytrasiewicz,
Prashant Doshi:
A Framework for Sequential Planning in Multi-Agent Settings.
AMAI 2004 |
| 3 | | Prashant Doshi,
Richard Goodwin,
Rama Akkiraju,
Kunal Verma:
Dynamic Workflow Composition using Markov Decision Processes.
ICWS 2004: 576-582 |
| 2003 |
|---|
| 2 | | Prashant Doshi,
Lloyd Greenwald,
John R. Clarke:
Using Bayesian Networks for Cleansing Trauma Data.
FLAIRS Conference 2003: 72-76 |
| 1 | | Rama Akkiraju,
Richard Goodwin,
Prashant Doshi,
Sascha Roeder:
A Method for Semantically Enhancing the Service Discovery Capabilities of UDDI.
IIWeb 2003: 87-92 |
